-1 means a strong negative relationship.The larger the absolute value, the stronger the relationship: The correlation coefficient can be any value between -1 and 1, and its absolute value indicates the relationship strength. It is the C orrelation Coefficient that measures the strength of a linear relationship between two variables. Here's what each piece of information means: This part tells you how well the calculated linear regression equation fits your source data. Regression analysis output: Summary Output Below you will find a breakdown of 4 major parts of the regression analysis output. The interpretation of the results is a bit trickier because you need to know what is behind each number. Click OK and observe the regression analysis output created by Excel.Īs you have just seen, running regression in Excel is easy because all calculations are preformed automatically.Optionally, select the Residuals checkbox to get the difference between the predicted and actual values.Choose your preferred Output option, a new worksheet in our case.Check the Labels box if there are headers at the top of your X and Y ranges.If you are building a multiple regression model, select two or more adjacent columns with different independent variables. In this example, it's the average monthly rainfall (B1:B25). In our case, it's umbrella sales (C1:C25).
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