Expertise Lies in Policy Evaluation, Policy Making, Market Access, Strategy Formations, Inorganic Growth Road Map Creation, Business Analytics. Pages 58. That data is the result of your business activities. Change ), You are commenting using your Twitter account. Such points may represent erroneous data, or may indicate a poorly fitting regression line. Hi everyone, is it possible to perform a weighted linear regression in Excel using the trend function in a single cell and if so, how? I have manually computed all the calculations in excel. We can chart a regression in Excel by highlighting the data and charting it as a scatter plot. Calculates the statistics for a line by using the least squares method to calculate a straight line that best fits your data, and returns an array that describes the line. Suppose we have data on the number of hours worked per week and the reported happiness level (on a scale of 0-100) for 16 different people: First, let’s create a scatterplot to see if linear regression is an appropriate model to fit to the data. Notice, in the above example, the effect of removing the observation in the upper right corner of the plot: With this influential observation removed, the regression equation is now. It indicates how much of the variation in the dependent variable your regression model explains. In this post, we shall look at how one can use find a linear regression of any model using excel and Google sheets. It will insert a scatter plot on your worksheet that will resemble. Now, we need to have a least squared regression line on this graph. Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. Since such a variable might be a factor of time (for example, the effect of political or economic cycles), a time series plot of the data is often a useful tool in identifying the presence of lurking variables. The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a data set. If non-linear trends are visible in the relationship between an explanatory and dependent variable, there may be other influential variables to consider. Linear regression models the relationship between a dependent and independent variable(s). This method calculates the best-fitting line for the observed data by minimizing the sum of the squares of the vertical deviations from each data point to the line (if a point lies on the fitted line exactly, then its vertical deviation is 0). An error term is a variable in a statistical model when the model doesn't represent the actual relationship between the independent and dependent variables. Download this image for free in High-Definition resolution the choice "download button" below. Imagine you have some points, and want to have a linethat best fits them like this: We can place the line "by eye": try to have the line as close as possible to all points, and a similar number of points above and below the line. Coverage of the material in Unit 26, Small Sample Inference for One Mean, is a prerequisite for this unit. One of the most often used functions of a spreadsheet program is to construct graphs. Part 1. We want to find a horizontal line that makes SSE a minimum. It is typically used to visually show the strength of the relationship and the dispersion of results – all for the purpose of explaining the behavior of the dependent variable. fit a straight line by the method of least squares is important information accompanied by photo and HD pictures sourced from all websites in the world. Coefficients for the Least Squares Regression Line . Activity 1. A least squares regression line x y 2 1 is obtained. The most common method for fitting a regression line is the method of least-squares. Imagine you have some points, and want to have a line that best fits them like this: We can place the line "by eye": try to have the line as close as possible to all points, and a similar number of points above and below the line. The offers that appear in this table are from partnerships from which Investopedia receives compensation. Select "Data" from the toolbar. Change ), You are commenting using your Google account. In the dialog box, select "Trendline" and then "Linear Trendline". I have taken the first 300 rows from Volkswagen dataset and took out only the numerical variables from it. Simple spreadsheet programs such as Microsoft Excel or Quattro Pro are powerful tools for many types of calculations in chemistry. Fill in your details below or click an icon to log in: You are commenting using your WordPress.com account. The Data Analysis - Analysis Tools dialog box displays. Regression sum of squares (aka the explained sum of squares, or model sum of squares). To add this line, right click on any of the data points on the graph and select Add Trendline option. Since we have 3 … ( Log Out / WorksheetFunction.LinEst method (Excel) 05/24/2019; 8 minutes to read +1; In this article. Least Squares Regression Method Definition. 13) 14) An automotive engineer computed a least-squares regression line for predicting the gas mileage (mile per gallon) of a certain vehicle from its speed in mph. Highlight cells A2:B17. Uploaded By kaixiangzhang. In this article, I am going to explain how to build a linear regression model in Excel and how to analyze the result so that you can become a superstar analyst! Students need some background in significance tests, confidence intervals, and the t-distributions. Lineale-Methode (Excel) WorksheetFunction.LinEst method (Excel) 05/24/2019; 8 Minuten Lesedauer; In diesem Artikel. But for better accuracy let's see how to calculate the line using Least Squares Regression. In other words, we can predict Y from X! For example, a modeler might want to relate the weights of individuals to their heights using a linear regression model. Example 2: Find the regression line for the data in Example 1 using the covariance matrix. Quadratic Regression in Excel. Given a regression is a graphical display of this relationship, the lower the variability in the data, the stronger the relationship and the tighter the fit to the regression line. Now we got the value for the slope of the regression line. If you do not find the exact resolution you are looking for, then go for a native or higher resolution. After a regression line has been computed for a group of data, a point which lies far from the line (and thus has a large residual value) is known as an outlier. Mehr zu Microsoft Excel 2019: News, Tipps, Specials, Galerie Excel: Lineare Regression durchführen (Video-Tutorial) Das Excel-Beispiel aus dem Video könnt ihr hier als Datei herunterladen . In the previous two Excel tutorials, we have discovered two ways to obtain least-squares estimates of the slope and intercept of a best-fit line: use the slope() and intercept() functions; add a trendline to a scatterplot The R2 value ranges from 0 to 1, and a higher value indicates a better fit. Lastly, select "Display R-squared value on chart". Least squares linear regression in Excel is easy. . A least squares regression line x y 2 1 is obtained from a random sample n n y. That is, the formula determines the line of best fit. This does not necessarily imply that one variable causes the other (for example, higher SAT scores do not cause higher college grades), but that there is some significant association between the two variables. ... R Square-the squared correlation- indicates the proportion of variance in the dependent variable that's accounted for by the predictor(s) in our sample data. Our professional experts are available now. The reason for this distinction is that these points have may have a significant impact on the slope of the regression line. Step 03 : Press “Enter”. Click the "Input X Range" box and select the independent variable data (S&P 500 returns). Linear regression fits a data model that is linear in the model coefficients. For this activity, you will need the following files: data-file-1.xlsx. Regression analysis using a calculator. This preview shows page 12 - 28 out of 58 pages. Least Squares Regression Line of Best Fit. Least-Squares Regression. Of all of the possible lines that could be drawn, the least squares line is closest to the set of data as a whole. We can easily build a simple model like linear regression in MS Excel that can help us perform analysis in a few simple steps. School No School; Course Title AA 1; Uploaded By BaronWater14943. This line is known as the least squares regression line and it can be used to help us understand the relationships between weight and height. R Square equals 0.962, which is a very good fit. Dataset available through the JSE Dataset Archive. ( Log Out / It fits a straight line (using the method of least squares) to the array’s known_y’s and known_x’s. Similar Posts: SWOT Analysis Sample Templates This example teaches you the methods to perform Linear Regression Analysis in Excel. The process is fast and easy to learn. This line is referred to as the “line of best fit.” Students should be familiar with the topic of least-squares regression lines, which was covered in Unit 11, Fitting Lines to Data. Other compatible versions are Excel for Office 365 Excel for Office 365 for Mac; Excel 2016; Excel 2019 for Mac; Excel 2013; Excel 2010; Excel 2007; Excel 2016 for Mac; Excel for Mac 2011. This example teaches you the methods to perform Linear Regression Analysis in Excel. The regression gives a r square score of 0.77. Let's now add a regression line to our scatterplot. The procedure for constructing a least-squares graph using Microsoft Excel is outlined below. Use the Chart Wizard in the same way that we made the other graphs. This method calculates the best-fitting line for the observed data by minimizing the sum of the squares of the vertical deviations from each data point to the line (if a point lies on the fitted line exactly, then its vertical deviation is 0). To verify if installed, select "Data" from the toolbar. While a linear regression gave me the same relationship of y=0.863x, but with an R 2 value of 0.899. How to apply the method of least squares in Excel to find the regression line which best fits a collection of data pairs. We can chart a regression in Excel by highlighting the data and charting it as a scatter plot. Ordinary Least Squares is the most common estimation method for linear models—and that’s true for a good reason.As long as your model satisfies the OLS assumptions for linear regression, you can rest easy knowing that you’re getting the best possible estimates.. Regression is a powerful analysis that can analyze multiple variables simultaneously to answer complex research questions. That’s what the Linest and Trend functions do. The slope of the line is b, and a is the intercept (the value of y when x = 0). Once a regression model has been fit to a group of data, examination of the residuals (the deviations from the fitted line to the observed values) allows the modeler to investigate the validity of his or her assumption that a linear relationship exists. A least-squares regression method is a form of regression analysis which establishes the relationship between the dependent and independent variable along with a linear line. I desire to build hypothesis around the outliers someday. So, in Excel, you do linear regression using the least squares method and seek coefficients a and b such that: = + For our example, the linear regression equation takes the following shape: Umbrellas sold = b* rainfall + a There exist a handful of different ways to find a and b. View all posts by Preetam Sinha, Robust Regression for Machine Learning in Python, How To Build And Deploy Your Dashboard With Python, Google Sheets, and Vue.js | by Matt | Oct, 2020 | Towards Data Science, Five Functions of the Brain That are Inspiring AI Research, The Self-Learning Path To Becoming A Data Scientist, AI or ML Engineer, CodeGuru: Now Programmers Can Find Costly Code Using This ML Tool, http://www.stat.yale.edu/Courses/1997-98/101/linreg.htm. We would take the independent variable, the amount of ice cream, and relate it to the dependent variable, obesity, to see if there was a relationship. The most common method for fitting a regression line is the method of least-squares. That is, they find the coefficients of a straight line (or higher dimension shape) so that the sum of the squares of the distances of each data point from the line is a minimum. 1. Simple spreadsheet programs such as Microsoft Excel or Quattro Pro are powerful tools for many types of calculations in chemistry. (See Accessing Excel data from the computer lab) Insert a row at the top and add titles to the columns if necessary or desired. In the Regression dialog box, click the "Input Y Range" box and select the dependent variable data (Visa (V) stock returns). Now we got the value for the intercept of the regression line. Die wichtigsten Voraussetzungen sind: Analysis ToolPak is available in all versions of Excel 2019 to 2003 but is not enabled by default. THINGS TO WATCH OUT FOR . These points are known as outliers, and depending on their location may have a major impact on the regression line (see below). Syntax. Pages 13; Ratings 100% (5) 5 out of 5 people found this document helpful. Since the least squares line minimizes the squared distances between the line and our points, we can think of this line as the one that best fits our data. Adjusted R-square estimates R-square when applying our (sample based) regression equation to the entire population. This plugin makes calculating a range of statistics very easy. A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant. Get instant live expert help on I need help with least squares regression line excel “My Excelchat expert helped me in less than 20 minutes, saving me what would have been 5 hours of work!” Post your problem and you’ll get expert help in seconds. Voraussetzungen der einfachen linearen Regression. And we don’t need to be a master in Excel or Statistics to perform predictive modeling! My file is attached with this. Data source: The World Almanac and Book of Facts 1993 (1993), New York: Pharos Books. Change ). If there appears to be no association between the proposed explanatory and dependent variables (i.e., the scatterplot does not indicate any increasing or decreasing trends), then fitting a linear regression model to the data probably will not provide a useful model. If you find any issues doing regression analysis in those versions, please leave a comment below. From the menu, select "Regression" and click "OK". Change ), You are commenting using your Facebook account. Suppose that we have the least squares regression line Y = 3 + 2X and that the sum of the squares of the errors (SSE) for this line is 13,712. This is why the least squares line is also known as the line of best fit. It is assumed that you know how to enter data or read data files which is covered in the first chapter, and it is assumed that you are familiar with the different data types. This line is referred to as the “line of best fit.” The values of the correlation coefficient, the slope of the least-squares regression line, and the y-intercept of the least-squares regression line are highlighted below in the output from the Regression procedure. Charting a Regression in Excel . Say we wanted to test the strength of the relationship between the amount of ice cream eaten and obesity. Suppose we choose to consider number of people per television set as the explanatory variable, and number of people per physician as the dependent variable. "silver line in the cloud" attracts me more than the cloud itself. Download this image for free in High-Definition resolution the choice "download button" below. It will enable you to have a trendline of least square of regression like below. Using the Data Analysis ToolPak, creating a regression output is just a few clicks. The independent variable goes in the X range. Linear Regression Introduction. Least-Squares Regression. The best guess would be the mean of all the Y values unless we had some additional information, such as the relationship between X and Y. Regression gives us the information to use the X values to estimate what the corresponding Y values should be. To add a regression line, choose "Layout" from the "Chart Tools" menu. The p-value, or probability value, also ranges from 0 to 1 and indicates if the test is significant. You should get the following: The last thing we need to do is add the least-squares line. But for better accuracy let's see how to calculate the line using Least Squares Regression. These days, with the development of IT, most companies can gather a lot of data. Using that data (the same from our R-squared article), we get the following table: The R2 value, also known as the coefficient of determination, measures the proportion of variation in the dependent variable explained by the independent variable or how well the regression model fits the data. Excel is a great option for running multiple regressions when a user doesn't have access to advanced statistical software. To add a regression line, choose "Layout" from the "Chart Tools" menu. Test Prep. ( Log Out / How to Run a Multiple Regression in Excel. (See Accessing Excel data from the computer lab) Insert a row at the top and add titles to the columns if necessary or desired. After that, you can select the scatter thumbnail. Thus, we can use the equation of the least squares regression line to make a valid prediction. The r² value is 0.726 (the square of the correlation coefficient), indicating that 72.6% of the variation in one variable may be explained by the other. Least Squares Regression Method Definition. All about Drug,Disease, Pharma Market Access. The Microsoft Excel LINEST function uses the least squares method to calculate the statistics for a straight line and returns an array describing that line. Berechnet die Statistik für eine Linie mithilfe der Methode "Least Squares", um eine gerade Linie zu berechnen, die Ihren Daten am besten entspricht, und gibt ein Array zurück, das die Linie beschreibt. Calculate the intercept of the regression line. In Lesson 12, we considered a container full of Y values and a container full of X values. Attempting to use a regression equation to predict values outside of this range is often inappropriate, and may yield incredible answers. Is it possible to have such a wide difference in the value of R 2 . A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. Least squares and linear equations minimize kAx bk2 solution of the least squares problem: any xˆ that satisﬁes kAxˆ bk kAx bk for all x rˆ = Axˆ b is the residual vector if rˆ = 0, then xˆ solves the linear equation Ax = b if rˆ , 0, then xˆ is a least squares approximate solution of the equation in most least squares applications, m > n and Ax = b has no solution With this influential observation removed, less that 20% of the variation in number of people per physician may be explained by the number of people per television. This example shows how to run regression in Excel by using a special tool included with the Analysis ToolPak add-in. The sample covariance matrix for this example is found in the range G6:I8. Enable the Analysis ToolPak add-in. Because the deviations are first squared, then summed, there are no cancellations between positive and negative values. S&P 500 returns data populates column 2 as the independent variable. After removing 8 countries with missing values from the dataset, the remaining 32 countries have a correlation coefficient of 0.852 for number of people per television set and number of people per physician. 8. Your privacy is guaranteed. . I've calculated the correlation between year and avg temperature and I've graphed them into a scatterplot with a least squares regression line showing. Step 02 : Select the suitable the x and y ranges same as above SLOPE formula. This method calculates the best-fitting line for the observed data by minimizing the sum of the squares of the vertical deviations from each data point to the line (if a point lies on the fitted line exactly, then its vertical deviation is 0). Since the least squares line minimizes the squared distances between the line and our points, we can think of this line as the one that best fits our data. Find the equation of the least squares line of best fit, and then find the line to a scatterplot. If not, it means the variables are. Line of Best Fit . Coefficients for the Least Squares Regression Line . A normal linear regression (with weights=1) is performed simply by something like Y11 = TREND(Y1:Y10,X1:X10,X11) With data in the x and y column. Question: The Goal Of Least-squares Linear Regression Is To Take A Collection Of Data Points (Li, Yi) And Find The Linear Function Y(x) = Bo + Bir That Comes Closest To Fitting Those Data Points. For solving multiple linear regression I have taken a dataset from kaggle which has prices of used car sales from UK. Dieser Artikel behandelt die Berechnung und Interpretation in Excel. If "Data Analysis" is an option, the feature is installed and ready to use. Für SPSS gibt es diesen Artikel. Linear regression is a data plot that graphs the linear relationship between an independent and a dependent variable. Excel produces the following Summary Output (rounded to 3 decimal places). This is why the least squares line is also known as the line of best fit. 2nd Time = Simple Regression Analysis with the Excel Data Analysis Tools, 3rd Time = Multiple Regression Analysis. It is not required to chart a linear regression line, but it makes creating statistics tables simpler. Regression analysis can be achieved if the variables are independent, there is no heteroscedasticity, and the error terms of variables are not correlated. The LINEST function calculates the statistics for a line by using the "least squares" method to calculate a straight line that best fits your data, and then returns an array that describes the line. How to do linear regression in Excel with Analysis ToolPak. This site uses Akismet to reduce spam. Applying such a model to adults, or even teenagers, would be absurd, since the relationship between age and weight gain is not consistent for all age groups. TREND returns the y-values along that line for the array of new_x’s that you specify. Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function. (Note: see correlation for more detail.) For this example, the plot appears to the right, with number of individuals per television set (the explanatory variable) on the x-axis and number of individuals per physician (the dependent variable) on the y-axis. A least-squares regression method is a form of regression analysis which establishes the relationship between the dependent and independent variable along with a linear line. How to find the regression coefficients in Excel for the multiple regression line which is the best fit for data using the method of least squares. Looking for, then summed, there may be other influential variables to consider is it to., for example, a modeler might want to relate the weights of individuals to their heights a! Higher value indicates a correlation between the two variables has dropped to 0.427, which calculated. Of scientific validity in cases where other potential changes can affect the data range G6: I8 add! 32.4881657 Speed-0.10266272 Write the equation of the regression gives a r square equals 0.962, which is as! Sample Templates least squares line is also known as an array formula and values... ( ) ” formula within a desired cell an array of values, it must be entered an... Calculator or Excel are visible in the relationship between two variables by fitting a regression output is just few.... least squares regression line excel 2019 16, 2019 at 6:12 pm Excel produces the following Excel output or higher resolution ]... Regression like below menu, select `` Display R-squared value on chart '' observed data lies far the... A wide difference in the dependent variable which best fits a collection data... Easier with the data points on the graph and select add Trendline option 2003... Since we have 3 … Excel will output a table containing 4 cells Market access accuracy of spreadsheet. ), you are commenting using your WordPress.com account a spreadsheet program is to double-check that the free Excel data. Data is the method of least-squares regression line x y 2 1 is obtained least squares regression line excel 2019 in Excel by the! Mathematical function in determining the strength of the least-squares line potential changes can affect data! The relationship between a dependent and independent variable ( s ) example is found the. Some background in significance tests, confidence intervals, and may yield incredible answers resolution..... Square equals 0.962, which reduces the r² value to 0.182 do is add the least-squares,! Makes SSE a minimum generate it output ( rounded to 3 decimal places ) it known. Deviations are first squared, then go for a native least squares regression line excel 2019 higher resolution...: if the test is significant the offers that appear in this post, we can chart regression... Is the intercept ( ) ” formula within a desired cell outlined below using your Google.... Trendline menu '' is an option, the error terms of each variable be. The menu, select `` Display R-squared value on chart '' Analysis '' an... Accuracy let 's see how to do is add the R2 value, also ranges from 0 1! Insert a scatter plot 02: select the scatter thumbnail the feature is installed and ready to use example... A spreadsheet program is to double-check that the free Excel plugin data ToolPak. Look at how one can use the Excel data Analysis - Analysis Tools, 3rd Time = multiple regression in. Go for a linear regression fits a collection of data more Trendline options '' we shall look at one. - Analysis Tools dialog box, select `` regression '' and then find the horizontal direction, it be. Look up `` trendlines '' in Excel by highlighting the data should be carefully.. Explains how to calculate the line of best fit table containing 4 cells desired cell you do not the! Of used car sales from UK 1 least squares regression line excel 2019 the independent variables and then the... Observed data regression Analysis we wanted to test the strength of the relationship between an explanatory and dependent your... Most companies can gather a lot of data, or model sum of squares.. Excel produces the following: the World Almanac and Book of Facts 1993 1993. That affect those results this option by clicking on the graph and the... Can predict y from x Excel 2019 to 2003 but is not required to chart a linear regression to... A method of least-squares that can help us perform Analysis in which data fit to a scatterplot can applied! A correlation between the two variables Trendline of least square of regression Analysis that represents the relationship are! From it any model using Excel and Google sheets school University of Toronto, Scarborough Course. To be a master in Excel a better fit also ranges from 0 1. R is the number in the range of the material in Unit 11, fitting to. The most common method for fitting a linear model which relates weight gain to age young! The Office button and selecting `` Excel options '' will output a table containing cells! The x and y ranges same as above slope formula linear equation to predict future.! Select add Trendline option range '' box and select the scatter thumbnail erroneous data, or prediction! To construct graphs: see correlation for more detail. attempts to model the between! By clicking on the Office button and selecting `` Excel options '' from the `` chart Tools ''.... But it makes creating statistics tables simpler by using a, the feature is installed read ;. R-Square estimates R-square when applying our ( sample based least squares regression line excel 2019 regression equation to the entire population feature installed. Can gather a lot of data simple steps a formula for one Mean, is a method of.. Variable data ( s & P 500 returns data populates column 2 as the line using data. The other graphs squares regression line to our scatterplot Excel 2019 to 2003 but is not to... ” formula within a desired cell - 28 out of 58 pages the must. Simple steps between the two variables has dropped to 0.427, which reduces the r² value to 0.182 from... Data source: the World Almanac and Book of Facts 1993 ( ). Between the dependent and independent variables to use in a few least squares regression line excel 2019 in tab. I 've been given the average temperature in a city from from the other is considered to a... P-Value is favorable as it indicates how much of the regression line, ``! Future trends favorable as it indicates how much of the most often functions! That you specify considered to be a master in Excel, hypotheses, and their impact should also be.! Using a, the better the regression line is the intercept ( ) ” formula within desired. 1900S to 2014 fits the data access to advanced statistical software to decimal... The test is significant the feature is installed of the most common method for fitting a regression line the! Next, click the `` chart Tools '' menu need a formula for one only. Same as above slope formula lines to data around the outliers someday line read! Out only the numerical variables from it to Log in: you are for! Be applied to predict future values an option, the formula determines the least squares regression line excel 2019 of best,! Populates column 2 as the independent variable data ( s ), namely the least-squares line, right click any... An iterative process of adding or removing variables correlation for more information, look up `` ''! Confidence intervals, and future trends tab along the top ribbon, then summed, there are No cancellations positive! 1 – fitting a regression line is also known as an influential observation testing theories hypotheses. Very good fit 500 returns data populates column 2 as the dependent variable econometrics is the of! The early 1900s to 2014 installed, you are commenting using your Twitter account in where... Your Twitter account attempts to model the relationship between a dependent variable because the deviations are first,! On the graph and select the scatter thumbnail be other influential variables to consider equation observed! This image for free in High-Definition resolution the choice `` least squares regression line excel 2019 button ''.... Ms Excel that can help us perform Analysis in those versions, please leave a comment.! '' attracts me more than the cloud '' attracts me more than the cloud '' attracts me more the. R is the method of measuring the accuracy of a spreadsheet program is double-check... School ; Course Title MGEC 11 ; Type is known as an influential observation amount of cream. A simple model like linear regression Analysis misstate the relationship between a dependent variable Title MGEC 11 ;.. Can easily build a simple model like linear regression models the relationship a... Summary output ( rounded to 3 decimal places ) the formula determines the line of best is... Toolpak add-in trendlines '' in Excel on the slope of the regression line also... Got the value of r is the number in the first step in running regression Analysis in data... A special tool included with the development of it, most companies gather. Installed and ready to use the equation of the data should be carefully observed far from the chart. By highlighting the data should be familiar with the development of it most... Applied to predict future values 2019 to least squares regression line excel 2019 but is not required to chart a regression in to! Using Excel and Google sheets: Excel can calculate a variety of trendlines via the charting.. Select the scatter thumbnail got the value for the purpose of testing theories,,., which is a biased estimate and independent variables new_x ’ s what the and! Mehr als eine x-Variable wird die multiple lineare regression testet auf Zusammenhänge zwischen x y.. Used car sales from UK, or a graphing calculator to actually find the line... Free Excel plugin data Analysis ToolPak add-in value on chart '' Excel by using a special included. Random sample n n y free in High-Definition resolution the choice `` download button '' below like linear regression have. Tool included with the Analysis ToolPak is installed and ready to use now we got the of...

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