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Home  arrow Multiple choice questions  arrow Part 2 - Descriptive statistics  arrow Chapter 11 - Regression: Prediction with precision

Chapter 11 - Regression: Prediction with precision

 
Attempt these questions after you have read chapter 11

Try the multiple choice questions below to test your knowledge of this chapter. Once you have completed the test, click on 'Submit Answers for Grading' to get your results.

Please refer to the following outputs when answering the questions

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.099a

.010

.008

1.185

a. Predictors: (Constant), Variable A

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

9.631

1

9.631

6.859

.009a

Residual

966.085

688

1.404

 

 

Total

975.716

689

 

 

 

a. Predictors: (Constant), Variable A

b. Dependent Variable: Variable B

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

T

Sig.

B

Std. Error

Beta

1

(Constant)

5.616

.146

 

38.485

.000

Variable A

.068

.026

.099

2.619

.009

a. Dependent Variable: Variable B



This activity contains 20 questions.

Question 1.
Regression is:

 
End of Question 1


Question 2.
The predictor variable is:

 
End of Question 2


Question 3.
The criterion variable is:

 
End of Question 3


Question 4.
If one wishes to predict performance in tennis finals from performance in semi-finals:

 
End of Question 4


Question 5.
The regression line is:

 
End of Question 5


Question 6.
The point at which the regression line cuts the vertical axis is:

 
End of Question 6


Question 7.
The point at which the vertical axis is cut by the regression line:

 
End of Question 7


Question 8.
The slope of the regression line:

 
End of Question 8


Question 9.

Examine the following table. It is needed to answer questions 9 to 12.

Extraversion

12

14

16

17

19

23

25

27

Number of cigarettes each day

0

0

10

12

11

18

30

32

The slope of the above data:

 
End of Question 9


Question 10.
For the above data, what is b for smoking as the criterion?

 
End of Question 10


Question 11.
For the above data, what is a for smoking as the criterion?

 
End of Question 11


Question 12.
If a = 10 and b = -0.3, how many cigarettes would a person with an extraversion score of 9 smoke a day?

 
End of Question 12


Question 13.
For any two variables:

 
End of Question 13


Question 14.
For any regression calculation:

 
End of Question 14


Question 15.
If the points fit the regression line well:

 
End of Question 15


Question 16.
If the standard error of the criterion is 3, what is the confidence interval if the estimated value on the criterion variable is 20?

 
End of Question 16


Question 17.
What is the R Square value?

 
End of Question 17


Question 18.
How much variance in variable B can be accounted for by variable A?

 
End of Question 18


Question 19.
Can variable A account for a significant amount of the variance in variable B?

 
End of Question 19


Question 20.
What is the regression equation for the prediction of variable B using variable A?

 
End of Question 20





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