# Below is additional output from the sleep reflex regression analysis in Exercise 42. a. Compute the missing t stat value and use it to determine whether we can reject a = 0 null hypothesis at the 5% significance level.

Below is additional output from the sleep reflex regression analysis in Exercise 42.

a. Compute the missing t stat value and use it to determine whether we can reject a β = 0 null hypothesis at the 5% significance level.

b. Compare the t stat value that you computed in part a to the F value in Exercise 42. What is the general relationship between these two values?

**Transcribed Image Text:**

## Standard Coeff t p-value 260 317 8.20 Intercept Sleep (hrs) 245.70 ANOVA df SS MS F Significance F Regression 1698 Error (Residual (f Total g) 14 20106 Lowr Uppr 95% coeff Strd ErrtStat P-value 95% -21.34 41.532 Intercept 0.0 14.428 parking 1.346 0.582 spaces proximity to 0150.004 transit stop 0.700 (h) u) (1) (n) (i) (k) (m) (0)

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