Exhibit 16-1
In a regression analysis involving 25 observations, the following estimated regression
equation was developed.
= 10 – 18x1 + 3x2 + 14x3
Also, the following standard errors and the sum of squares were obtained.
Sb1 = 3 Sb2 = 6 Sb3 = 7
SST = 4,800 SSE = 1,296
Refer to Exhibit 16-1. The coefficient of x1
a. is significant
b. is not significant
c. cannot be tested, because not enough information is provided
d. None of these alternatives is correct.
A student believes that the average grade on the statistics final examination is 87. A
sample of 36 final examinations is taken. The average grade in the sample is 83.96. The
population variance is 144.
a. State the null and alternative hypotheses.
b. Using a critical value, test the hypothesis at the 5% level of significance.
c. Using a p-value, test the hypothesis at the 5% level of significance.
d. Using a confidence interval, test the hypothesis at the 5% level of significance.