Bivariate Regression in Excel

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Presentation transcript:

Bivariate Regression in Excel Copyright (c) 2008 by The McGraw-Hill Companies. This material is solely for educational use by licensed users of LearningStats. It may not be copied or resold for profit.

Step 1. Enter the Data First column is X Second column is Y

Step 2. Make a Scatter Plot

Step 3. Click on the Data Note - Axes have been rescaled to show more detail (non-zero origin)

Step 4. Add Trendline Right-click on the data to get this menu

Step 5. Select Options

Step 6. Interpret Regression Every pound of extra Weight requires 0.0448 extra HP Less than half the variation in HP is "explained" by Weight

Step 7. Regression Menu For full regression results, click Tools, select Data Analysis and choose Regression If Data Analysis is not visible, click Add-Ins and check Analysis Toolpak

Step 9. Set Up Regression

Step 10. Analyze Results R2 is below 50% Standard error is about 25 lbs (same units as Y) Highly significant F. Intercept differs somewhat from 0 (p-value is 0.23) but 95% C.I. includes zero Slope is non-zero (p-value is 0.000) and C.I. for slope doesn't include zero (0.27 to 0.62) Note These results have been "cleaned-up" for clarity by reformatting decimals, etc.