If the value of = 4.00 for relationship A and = 5.25

Question 1

5 out of 5 points

If the value of = 4.00 for relationship A and = 5.25 for relationship B, in which relationship would you have the most confidence in a particular prediction?

 

Question 2

0 out of 5 points

The assumption of homoscedasticity is that _________.

Question 3

5 out of 5 points

If N = 8, S X = 160, S X2 = 4656, S Y = 79, S Y2 = 1309, and S XY = 2430, what is the value of bY?

Question 4

0 out of 5 points

In multiple regression, if the second predictor variable correlates highly with the predicted variable, than it is quite likely that _________.

Question 5

0 out of 5 points

If X and Y are transformed into z scores, and the slope of the regression line of the z scores is -0.80, what is the value of the correlation coefficient?

Question 6

5 out of 5 points

When predicting Y from two variables relative to using only one variable, _________.

Question 7

5 out of 5 points

When the relation between X and Y is imperfect, the prediction of Y given X is _________.

 

Question 8

5 out of 5 points

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

Question 9

5 out of 5 points

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

Question 10

5 out of 5 points

S (Y – Y’) equals _________.

 

Question 11

5 out of 5 points

The regression constant for predicting Y given X is symbolized by _________.

Question 12

5 out of 5 points

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

Question 13

0 out of 5 points

If bY = 0, the regression line is _________.

Question 14

0 out of 5 points

The higher the standard error of estimate is,

Question 15

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 16

0 out of 5 points

The regression of Y on X _________.

Question 17

0 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 value for the standard error of estimate in predicting % fat from daily exercise is _________.

Question 18

0 out of 5 points

If bY is negative, higher values of X are associated with _________.

Question 19

5 out of 5 points

S (Y – Y’)2 represents _________.

Question 20

5 out of 5 points

The points (0,5) and (5,10) fall on the regression line for a perfect positive linear relationship. What is the regression equation for this relationship?