Sometimes a researcher will find that the ANOVA F is not significant in regression analysis or if the F is significant,the R square is lower than desired.It is appropriate in these cases to:
A)examine the data using another stat package other than SPSS.
B)change the scaling assumptions from ratio or interval to ordinal and rerun the analysis.
C)run a confidence interval around the predicted values and then make the interval narrower.
D)run a confidence interval around the predicted values and then make the interval wider.
E)run a scatter diagram,search for outliers,and remove them and rerun the regression.

Question

Quizplus · Accepted Answer

Running a scatter diagram and searching for outliers can help identify any influential data points that may be skewing the regression results. Removing these outliers and rerunning the regression can lead to a more accurate model. Choosing other options such as changing scaling assumptions or running a confidence interval will not necessarily address the issue of a non-significant F or lower R square.

Sometimes a Researcher Will Find That the ANOVA F Is