The value aY is the X axis intercept for minimizing errors in Y

 ? Question 1 0 out of 10 points

The value aY is the X axis intercept for minimizing errors in Y.

 

Question 1

0 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 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?

Question 3

0 out of 5 points

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

Question 4

0 out of 5 points

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

Question 5

0 out of 5 points

If the regression equation for a set of data is Y’ = 2.650X + 11.250 then the value of Y’ for X = 33 is _________.

Question 6

0 out of 5 points

S (Y – Y’)2 represents _________.

Question 7

5 out of 5 points

If = 0.0 the relationship between the variables is _________.

Question 8

0 out of 5 points

You go to a carnival and a sideshow performer wants to bet you $100 that he can guess your exact weight just from knowing your height. It turns out that there is the following relationship between height and weight.

Height (in)

60.0

62.0

63.0

66.5

73.5

84.0

Weight (lbs)

99

107

111

125

153

195

Should you accept the performers bet? Explain.

Question 9

0 out of 5 points

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

Question 10

0 out of 5 points

Which of the following statements is(are) false?

Question 11

5 out of 5 points

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

Question 12

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

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

Question 13

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 14

5 out of 5 points

For regression purposes,

Question 15

0 out of 5 points

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

Question 16

0 out of 5 points

The regression equation most often used in psychology minimizes _________.

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

Question 18

0 out of 5 points

When predicting Y given X, _________.

Question 19

0 out of 5 points

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

Question 20

5 out of 5 points

What would you predict for the value of Y for the point where the value of X is ?