In other words, 96% of the dependent variables (y-values) are explained by the independent variables (x-values).Īdjusted R Square is the modified version of R square that adjusts for predictors that are not significant to the regression model. In our example, the value of R square is 0.96, which is an excellent fit. It shows how many points fall on the regression line. R Square signifies the Coefficient of Determination, which shows the goodness of fit. -1 means a strong negative relationship.The larger the absolute value, the stronger is the relationship. The Multiple R is the Correlation Coefficient that measures the strength of a linear relationship between two variables. Whenever the Excel add-in dialog box appears, check the Analysis ToolPak check box, and then click OK. The summary output tells you how well the calculated linear regression equation fits your data source. To load Analysis Toolpak in Excel Mac, all you have to do is the following: First, on the Tools menu click then find and click Excel add-ins on the list. We will divide the output into four major parts for our understanding. Let us now understand the meaning of each of the terms in the output.
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