1. A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: . This implies that if the height is increased by 1 inch, the weight is expected to increase by an average of 6 pounds.

True

False

2. When the population variances are unequal, we estimate each population variance with its sample variance. Hence, the unequal-variances test statistic of is approximately Student t-distributed with n₁+ n₂ 2 degrees of freedom.

True

False

3. A statistics professor investigated some of the factors that affect an individual student's final grade in her course. She proposed a multiple regression model where y is the final grade (out of 100 points), x₁ is the number of lectures skipped, x₂ is the number of late assignments, and x₃ is the midterm score (out of 100). The professor recorded the data for 50 randomly selected students. The computer output is shown below.

Is there enough evidence at the 5% significance level to infer that the model is useful in predicting the final grade?

a. There is insufficient information from which to determine the answer.

b. No

c. None of these answers are correct.

d. Yes

4.We can use the F-test to determine whether ₁ is greater than ₂.

True

False

5.

In one-way analysis of variance, if all the sample means are equal, then the:

		total sum of squares is zero.
		sum of squares for treatments is zero.
		sum of squares for error is zero.
		sum of squares for error equals sum of squares for treatments.