0 out of 5 pointsThe least-squares regression line minimizes _________.Question 15

Question 1

5 out of 5 points

The regression coefficient for predicting Y given X is symbolized by _______

Question 2

5 out of 5 points

The regression coefficient bY and the correlation coefficient r, _________.

Question 3

5 out of 5 points

S (Y – Y’)2 represents _________.

Question 4

5 out of 5 points

The symbol for the standard error of estimate when predicting Y given X is _________.

Question 5

5 out of 5 points

Which of the following statement(s) is (are) an important consideration(s) in applying linear regression techniques?

Question 6

5 out of 5 points

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.

Individual

1

2

3

4

5

Exercise (min)

10

18

26

33

44

% Fat

30

25

18

17

14

Based on the above data, if an individual exercises 20 minutes daily, his predicted % body fat would be _________.

Question 7

5 out of 5 points

If bY = 0, the regression line is _________.

Question 8

5 out of 5 points

When using more than one predictor variable, _________ tells us the proportion of variance accounted for by the predictor variables.

Question 9

5 out of 5 points

If the value for aY is negative, the relationship between X and Y is _________.

Question 10

5 out of 5 points

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.

Individual

1

2

3

4

5

Exercise (min)

10

18

26

33

44

% Fat

30

25

18

17

14

The least squares regression line for predicting the amount of exercise from % fat is _________.

Question 11

5 out of 5 points

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.

Individual

1

2

3

4

5

Exercise (min)

10

18

26

33

44

% Fat

30

25

18

17

14

If an individual has 22% fat, his predicted amount of daily exercise is _________.

Question 12

5 out of 5 points

If = 57.2, = 84.6, and bY = 0.37, the value of aY = _________.

Question 13

5 out of 5 points

There is ________ between the sY½X and r.

Question 14

0 out of 5 points

The least-squares regression line minimizes _________.

Question 15

5 out of 5 points

If the relationship between X and Y is perfect:

Question 16

5 out of 5 points

S (Y – Y’) equals _________.

Question 17

5 out of 5 points

In the regression equation Y’ = X, the Y-intercept is _________.

Question 18

5 out of 5 points

When predicting Y, adding a second predictor variable to the first predictor variable X, will _______.

Question 19

5 out of 5 points

When predicting Y given X, _________.

Question 20

5 out of 5 points

If sY = sX = 1 and the value of bY = 0.6, what will the value of r be?

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