Standardized Residuals – will return the standardized residuals these values can be useful when identifying potential outliers.Residuals – will return the list of predicted dependent values, based on the regression line, as well as the residual values for each point.The final set of options concerns the residuals in the analysis. New Workbook – lets you save the results in an entirely separate workbookįor my example, I’m going to select the second option and have the results placed in a new worksheet.New Worksheet Ply – lets you place the results in a new worksheet.Output Range – you can highlight where you want the results to be placed in that worksheet.Output optionsįor the Output Options, you can specify where you want the regression results to be placed. However, if you want to use a different confidence level than 95%, then you need to select this option and enter the desired value here. By default, the results will return the 95% confidence intervals without having to change any options. It is also possible to specify the confidence level for the test. Generally, for linear regression, this option is not selected, so I will leave it unchecked for this example. Doing so would mean there is no Y intercept in the model. The next option called Constant is Zero is used if you want the regression line to start at 0, otherwise known as the origin. If you didn’t have any labels when you selected your data, then you should not tick this option. If you have highlighted the labels of the columns when selecting the data, then tick the Labels options.
Input X Range – this is the data for the X variable, otherwise known as the independent variable.The Y variable is the one that you want to predict in the regression model. Input Y Range – this is the data for the Y variable, otherwise known as the dependent variable.To perform the linear regression, click on the Data Analysis button. Performing the linear regression in Excel We are now ready to perform the linear regression in Excel.
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