How to Use SPSS to Conduct a Thorough Multiple Linear Regression analysis


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Method

Results

Descriptive Statistics:

Regression Results:

  • The table above shows that the correlation coefficient is R = 0.995, and the adjusted R2 is 0.989, which indicates that 98.9% of the variation in Total is explained by this model

  • The table above shows that the model is significant overall (p = 0.000), this means that at least one variable in this model is significant. This is not surprising considering the type of scatterplot found.

\[Total = 113.505 + 1.694Math - 0.268Perc\]

Regression Assumptions:

Conclusions

\[Total=113.505+1.694Math-0.268Perc\]
  • Alternative Model

The model is
\[Total=993.832+12.287Exp-2.851Perc\]