PSY-3301 Chapter 7 MC Quiz (Set 2)
Question 1
5 out of 5 points
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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?