How to Run a Regression Analysis in SPSS

Step-by-Step Guide

1. 1

   Step 1: Be aware of the regression model used.

   It is as follows:
   Yi = a + b1Xi + b2Xi2 + b3Xi3 + … + bkXik + ei Variable A:
   Constant.
   
   Variable bj:
   The coefficient for the independent variable to the j'th power.
   
   Variable ei:
   Random error term.
2. 2

   Step 2: Open the Growth.sav file.

   The data file can be found in the link provided below. , The Curve Estimation dialog box opens. , Note:
   The dependent variable weight is predicted using the independent variable age. ,,,, The best fitting cubic polynomial is given by the follow equation:
   Yi =
   0.052 –
   0.017 Xi +
   0.010 Xi2 –
   0.001 Xi3 + ei (where Yi is weight and Xi is age).
   
   Multiple regression can find the line of best fit for polynomials consisting of two or more variables.
   
   If X is the dependent variable, use the Transform and Compute options of the Data Editor to create new variables X2 = X*X, X3 = X*X2, X4 = X*X3, etc., then use these new variables (X, X2, X3, X4, etc.) as a set of independent variables for a multiple regression analysis.
3. 3

   Step 3: Click the Analyze menu

4. 4

   Step 4: point to Regression

5. 5

   Step 5: and then click Curve Estimation.

6. 6

   Step 6: Transfer the weight variable to the Dependent(s) box and the age variable to the Independent Variable box.

7. 7

   Step 7: Deselect the Plot models check box.

8. 8

   Step 8: Select the Display ANOVA table check box.

9. 9

   Step 9: Deselect the Linear check box and select the Cubic check box under Models.

10. 10

    Step 10: Click the OK button.

Detailed Guide

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