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Type ulusum of squares f Mean Square Mean square Corrected Model 20.99 5 4.2 8.6

ID: 3225802 • Letter: T

Question

Type ulusum of squares f Mean Square Mean square Corrected Model 20.99 5 4.2 8.64 00 Intercept 47.04 96.81 47.04 1 00 Gamer .00 .00 1 Risk 10.26 21.11 00 20.51 2 Gamer Risk .79 .23 2 Error 69.97 144 Total 138.00 150 Corrected Total 90.96 140 1. (2 points) Describe the potential effects (main and interaction) shown in the figure above. Support answer with specific references to the plotted functions. (1 points) State the null and alternative hypothesis for the main effect of gamer 0.05 level? Support your answer statistically. 4. (1 points) State the null and alternative hypothesis for the main effect of risk. 0.05 level? Support your answer statistically. 0.05 level? Support your answer statistically. 8. (1 point) Based on the results and your answers so far, what do you conclude about the relationship between history of playing video games and driving performance? Be specific.

Explanation / Answer

1) With p-values < 0.05, I can say that only main effect of risk is significant. And with p-value > 0.05, main effect of gamer and interaction effect of gamer and risk is not significant.

2) ho: main effect of gamer is significant

H1: main effect of gamer is not significant

3) With F = .01 p-values > 0.05, I FAIL TO REJECT ho at 5% level of significance and conclude that main effect of gamer is not significant

4) ho: main effect of risk is significant

H1: main effect of risk is not significant

5) With F =21.11 p-values < 0.05, I REJECT ho at 5% level of significance and conclude that main effect of risk is significant

6) ho: interaction effect of risk by gamer is significant

H1: interaction effect of risk by gamer is not significant

7) With F = .24 and p-value > 0.05, I fail to reject ho at 5% level of significance and conclude that interaction effect of risk by gamer is significant

8) Main effect of risk is significant. Main effect of gamer is not significant. And interaction effect of gamer and risk is not significant.

from graph, i can say that there is no interaction effect as 2 lines dont intersect.