How Do You Interpret The Linear Regression Summary In Microsoft Excel 2003?
Microsoft Excel is the world’s leading spreadsheet software. Professionals in nearly every industry use it to analyze all kinds of data, from financial reports to sensor readings. One of the most powerful features available in Excel is its regression analysis tool. You can take two datasets and use Excel’s linear regression analysis to find correlations between them. Right-click on the regression line in your chart, and choose Properties. Check “Display equation on chart” and “Display R-squared value on chart”. Click OK. Look at the R-squared value displayed next to the regression line. The R-squared value represents the amount of variability in the data that is explained by the linear regression analysis. If all the data lies exactly on the regression line, the R-squared value will be 1. If the R-squared value is 0, that means there is no correlation between the two datasets. Turn your attention to the equation listed above the R-squared value. It will be of the form “y = m x + b”, wh
