1. An Interactive Tutorial for SPSS 10.0 for Windows©
Multiple Linear Regression by
Julia Hartman
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© Copyright 2000, Julia Hartman
© Copyright 2000, Julia Hartman

2. Multiple Linear Regression: Introduction
Regression Analysis is the
…estimation of the linear relationship between a dependent variable and one or more independent variables or covariates.
(from SPSS Help)
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© Copyright 2000, Julia Hartman

3. Multiple Linear Regression: Introduction
This tutorial will use multiple regression to determine if the year of matriculation, total cumulative undergraduate GPAs, and MCAT scores can be used to predict how medical students will score on the US Medical Licensing Exam (Part 2).
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4. Multiple Linear Regression: Introduction
Independent variables
matyr: Matriculation year
totcum: Undergraduate GPA (Total Cumulative)
nmtot1: MCAT Total 1992-present, most recent
Dependent variable
usmle2: USMLE Step 2
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5. Multiple Linear Regression: Starting the Procedure
In the menu, click Analyze
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6. Multiple Linear Regression: Starting the Procedure
In the menu, click on Analyze
Point to Regression
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7. Multiple Linear Regression: Starting the Procedure
In the menu, click on Analyze
Point to Regression
Point to Linear…
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8. Multiple Linear Regression: Starting the Procedure
In the menu, click on Analyze
Point to Regression
Point to Linear…
… and click.
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9. Multiple Linear Regression: Selecting Variables
Choose the variables for analysis from the list in the variable box.
Move MATRICULATON DATE - YEAR, which is already highlighted, to the box labeled Independent(s) by clicking the arrow.
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10. Multiple Linear Regression: Selecting Variables
Scroll down the variable list,
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11. Multiple Linear Regression: Selecting Variables
Scroll down the variable list, point to the variable labeled UNDERGRAD GPA TOTAL - CUMULATIVE
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12. Multiple Linear Regression: Selecting Variables
Scroll down the variable list, point to the variable labeled UNDERGRAD GPA TOTAL – CUMULATIVE
…and click.
© Copyright 2000, Julia Hartman

13. Multiple Linear Regression: Selecting Variables
Move totcum to the Independent(s) box by clicking the arrow.
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14. Multiple Linear Regression: Selecting Variables
A few variables down the list, point to nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT
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15. Multiple Linear Regression: Selecting Variables
A few variables down the list, point to nmtot1, which is labeled MCAT TOTAL 1992-PRESENT, MOST RECENT
…and click.
© Copyright 2000, Julia Hartman

16. Multiple Linear Regression: Selecting Variables
Move nmtot1 to the box labeled Independent(s) by clicking the arrow.
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17. Multiple Linear Regression: Selecting Variables
Scroll further down the list and point to the variable usmle2, which is labeled USMLE STEP 2,
© Copyright 2000, Julia Hartman

18. Multiple Linear Regression: Selecting Variables
Scroll further down the list and point to the variable usmle2, which is labeled USMLE STEP 2 TOTAL,
…and click.
© Copyright 2000, Julia Hartman

19. Multiple Linear Regression: Selecting Variables
Move usmle2 to the box labeled Dependent by clicking the arrow.
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20. Multiple Linear Regression: Requesting Statistics
Request descriptive statistics by clicking the button labeled Statistics…
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21. Multiple Linear Regression: Statistics
In SPSS, you can display information by right-clicking, but right-clicking doesn’t work in this tutorial.
To see what right- clicking would show, left-click the box for Part and partial correlations.
© Copyright 2000, Julia Hartman

22. Multiple Linear Regression: Statistics
For this tutorial, click the checkbox for Part and partial correlations.
© Copyright 2000, Julia Hartman

23. Multiple Linear Regression: Statistics
Statistics for the Model fit and Estimates for Regression Coefficients will be produced by default.
Click the checkbox for Descriptives.
© Copyright 2000, Julia Hartman

24. Multiple Linear Regression: Statistics
This tutorial requests no additional statistics, so click the Continue button.
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25. Multiple Linear Regression: Requesting Plots
You can also request several different plots. Click the Plots… button.
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26. Multiple Linear Regression: Standardized Residual Plots
In the box labeled Standardized Residual Plots, first click the checkbox for Histogram,
© Copyright 2000, Julia Hartman

27. Multiple Linear Regression: Standardized Residual Plots
In the box labeled Standardized Residual Plots, first click the checkbox for Histogram,
then click the box for Normal probability plot.
© Copyright 2000, Julia Hartman

28. Multiple Linear Regression: Standardized Residual Plots
This tutorial requests none of the other plots available in the Linear Regression procedure. Click the Continue button.
© Copyright 2000, Julia Hartman

29. Multiple Linear Regression: Method of Variable Entry
The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.
Choose one of the following:
Enter
Stepwise
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30. Multiple Linear Regression: Enter Method
The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.
Choose one of the following:
Enter
Stepwise
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31. Multiple Linear Regression: Enter Method
Enter is the default method of variable entry. Click the OK button to run the Multiple Linear Regression procedure.
© Copyright 2000, Julia Hartman

32. Multiple Linear Regression: Stepwise Method
The independent variables can be entered into the analysis using five different methods. This tutorial includes the Enter and Stepwise methods.
Choose one of the following:
Enter
Stepwise
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33. Multiple Linear Regression: Stepwise Method
To select the stepwise method of variable entry, click the drop-down arrow for Method (next to Enter, which is the default method).
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34. Multiple Linear Regression: Stepwise Method
Point to Stepwise
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35. Multiple Linear Regression: Stepwise Method
Point to Stepwise and click.
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36. Multiple Linear Regression: Stepwise Method
Click the OK button to run the Multiple Linear Regression procedure.
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37. Multiple Linear Regression Output: Descriptive Statistics
The labels and format of your output may be somewhat different.
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38. Multiple Linear Regression Output: Correlations
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39. Multiple Linear Regression Enter Method Output: Variables Entered
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40. Multiple Linear Regression Enter Method Output: Model Summary
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41. Multiple Linear Regression Enter Method Output: ANOVA
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42. Multiple Linear Regression Enter Method Output: Coefficients and Correlations
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43. Multiple Linear Regression Enter Method Output: Residuals Statistics
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44. Multiple Linear Regression Enter Method Output: Residuals Histogram
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45. Multiple Linear Regression Enter Method Output: Plot of Standardized Residuals
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46. Multiple Linear Regression Output: Descriptive Statistics
The labels and format of your output may be somewhat different.
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47. Multiple Linear Regression Output: Correlations
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48. Multiple Linear Regression Stepwise Method Output: Variables Entered
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49. Multiple Linear Regression Stepwise Method Output: Model Summary
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50. Multiple Linear Regression Stepwise Method Output: ANOVA
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51. Multiple Linear Regression Stepwise Method Output: Coefficients and Correlations
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52. Multiple Linear Regression Stepwise Method Output: Excluded Variables
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53. Multiple Linear Regression Stepwise Method Output: Residuals Statistics
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54. Multiple Linear Regression Stepwise Method Output: Residuals Histogram
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55. Multiple Linear Regression Stepwise Method Output: Plot of Standardized Residuals
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56. Click one of the following:
An Interactive Tutorial for SPSS 10.0 for Windows©: Multiple Linear Regression
Click one of the following:
Repeat this tutorial
Return to the choice of methods of variable entry
Return to the list of tutorials
© Copyright 2000, Julia Hartman
© Copyright 2000, Julia Hartman