Discussion Post Sample (Main Response)
I chose the survey3ED.sav dataset to examine whether Mastery Scale and Perceived Control of Internal States Scale (PCOISS) predict p...
Discussion Post Sample (Main Response)
I chose the survey3ED.sav dataset to examine whether Mastery Scale and Perceived Control of Internal States Scale (PCOISS) predict perceived stress.
After running the multiple regression in SPSS, the residual histogram and Normal P–P Plot suggest that the residuals are approximately normally distributed because the histogram appears close to a bell-shaped curve and the points on the P–P plot lie near the diagonal line.
The scatterplot of ZRESID versus ZPRED shows a random distribution of points with no obvious curve or funnel shape, indicating that the assumptions of linearity and homoscedasticity are reasonably met.
For multicollinearity, both predictors have Tolerance values above 0.10 and VIF values below 10, suggesting that there is no serious multicollinearity problem.
Overall, the regression assumptions seem to be adequately satisfied, so the model can be considered appropriate for interpretation.
Sample Peer Response 1
I agree that your model appears to meet the assumption of normality because the points in the P–P plot are close to the diagonal line.
The scatterplot also looks fairly random, which supports homoscedasticity.
One small suggestion is to mention the exact VIF values to strengthen your interpretation of multicollinearity.
Sample Peer Response 2
Your interpretation is clear and well-supported by the SPSS output.
However, I noticed that the scatterplot shows a slight funnel shape, which may indicate a mild heteroscedasticity issue.
A possible remedy could be transforming the dependent variable or checking for outliers that may be influencing the residual spread.