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PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 1
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Regression Analysis Scatter Diagram
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Regression Analysis Regression Line: Line of Best Fit
Regression Line: Minimizes the sum of the squared vertical deviations (et) of each point from the regression line. Ordinary Least Squares (OLS) Method PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 4
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Ordinary Least Squares (OLS)
Model: PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 6
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Ordinary Least Squares (OLS)
Objective: Determine the slope and intercept that minimize the sum of the squared errors. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 7
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Ordinary Least Squares (OLS)
Estimation Procedure PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 8
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Ordinary Least Squares (OLS)
Estimation Example PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 9
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Ordinary Least Squares (OLS)
Estimation Example PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 10
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Standard Error of the Slope Estimate
Tests of Significance Standard Error of the Slope Estimate PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 11
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Tests of Significance Example Calculation
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Tests of Significance Example Calculation
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Tests of Significance Calculation of the t Statistic
Degrees of Freedom = (n-k) = (10-2) = 8 Critical Value at 5% level =2.306 PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 14
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Tests of Significance Decomposition of Sum of Squares
Total Variation = Explained Variation + Unexplained Variation PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 15
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Coefficient of Determination
Tests of Significance Coefficient of Determination PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 17
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Coefficient of Correlation
Tests of Significance Coefficient of Correlation PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 19
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Multiple Regression Analysis
Model: PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 20
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Multiple Regression Analysis
Adjusted Coefficient of Determination PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 23
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Multiple Regression Analysis
Analysis of Variance and F Statistic PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 24
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Problems in Regression Analysis
Multicollinearity: Two or more explanatory variables are highly correlated. Heteroskedasticity: Variance of error term is not independent of the Y variable. Autocorrelation: Consecutive error terms are correlated. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 25
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Durbin-Watson Statistic
Test for Autocorrelation If d = 2, autocorrelation is absent. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 27
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Chapter 4 Appendix PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 28
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Getting Started Install the Analysis ToolPak add-in from the Excel installation media if it has not already been installed Attach the Analysis ToolPak add-in From the menu, select Tools and then Add-Ins... When the Add-Ins dialog appears, select Analysis ToolPak and then click OK. PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 32
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Entering Data Data on each variable must be entered in a separate column Label the top of each column with a symbol or brief description to identify the variable Multiple regression analysis requires that all data on independent variables be in adjacent columns PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 34
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Example Data PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 35
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Running the Regression
Select the Regression tool from the Analysis ToolPak dialog From the menu, select Tools and then Data Analysis... On the Data Analysis dialog, scroll down the list of Analysis Tools, select Regression, and then click OK The Regression tool dialog will then be displayed PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 36
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Select the Data Ranges Type in the data range for the Y variable or select the range on the worksheet Type in the data range for the X variable(s) or select the range on the worksheet If your ranges include the data labels (recommended) then check the labels option PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 39
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Select an Output Option
Output to a selected range Selection is the upper left corner of the output range Output to a new worksheet Optionally enter a name for the worksheet Output to a new workbook And then click OK PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 41
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Regression Output PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 43
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Multiple Regression Data
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Regression Output PowerPoint Slides Prepared by Robert F. Brooker, Ph.D. Slide 46
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