Question 1

Linear regression could be used to predict someone's statistical exam score from their mathematical ability.

Accepted Answer

A) True 
 B)False

Question 2

When b = 0,the line of best fit will usually be:

Accepted Answer

A)  Vertical
B)  Horizontal
C)  Evenly distributed
D)  A diagonal through the originE) A) and B)
F) None of the above

Question 3

Mortality threatens external validity.Why?

Accepted Answer

A)  Because the estimate of the correlation is very accurate.
B)  Because the estimate of the correlation is inaccurate.
C)  Because one variable is measured more precisely than the other.
D)  Because each variable is measured randomly.E) A) and B)
F) B) and D)

Question 4

Linear regression means that for an increase in the x variable,there will be a constant change to y.

Accepted Answer

A) True 
 B)False

Question 5

What does an error in the regression mean?

Accepted Answer

A)  The data points all fall in a vertical line.
B)  Y cannot be predicted perfectly.
C)  There have been errors in the data entry.
D)  The data points all fall in a horizontal line.E) A) and B)
F) B) and D)

Question 6

Correlational research tests for only negative relationships between variables.

Accepted Answer

A) True 
 B)False  False

Question 7

The slope intercept formula is?

Accepted Answer

A)  b = my + x
B)  y = mx + b
C)  y = -mx + b
D)  mx = b - c - yE) A) and B)
F) C) and D)

Question 8

Which of the following could affect internal validity in a correlational study?

Accepted Answer

A)  Standard deviation
B)  Regression
C)  Causality
D)  Location threatE) A) and B)
F) None of the above

Question 9

Unless there is a perfect relationship between X and Y,then predictions for Y will?

Accepted Answer

A)  Be invalid.
B)  Be closer to the mean of X.
C)  Be closer to the mean of Y.
D)  Fall on a straight line.E) None of the above
F) B) and C)

Question 10

The variable used to make a prediction is?

Accepted Answer

A)  Correlational variable
B)  Criterion variable
C)  Predictor variable
D)  None of the aboveE) B) and C)
F) C) and D) C

Question 11

What does a slope of 2.50 indicate?

Accepted Answer

A)  For every increase of 2.50 along the y-axis,there is an increase of 5.00 on the x-axis.
B)  For every increase of 2.50 along the x-axis,there is an equivalent increase on the y-axis.
C)  For every increase of 1.00 on the x-axis,there is an increase of 2.50 on the y-axis.
D)  Nothing.E) A) and B)
F) A) and C)

Question 12

In the regression equation,what does y denote?

Accepted Answer

A)  Score on the variable x
B)  Value of the slope of the line
C)  Variable to be predicted
D)  Intercept with the y-axisE) C) and D)
F) A) and B)

Question 13

Heteroscedasticity occurs when?

Accepted Answer

A)  Variability in Y depends on the exact value of X.
B)  More error is accounted for than remains.
C)  There is a linear relationship between X and Y.
D)  There are larger values on X than Y.E) A) and C)
F) C) and D)

Question 14

Correlational research only aims to identify links between cultural values in different populations.

Accepted Answer

A) True 
 B)False

Question 15

Multiple regression is a technique which?

Accepted Answer

A)  Indicates the strength of a correlation between variables.
B)  Allows researchers to predict a criterion variable through an accurate combination of two or more predictor variables.
C)  Indicates the percentage of different quotas in a population.
D)  Is a technique used to eliminate errors.E) All of the above
F) B) and D)

Question 16

A regression analysis is not suitable when?

Accepted Answer

A)  Two variables have been measured on a ratio scale.
B)  There is a high error ratio.
C)  There is heteroscedasticity in the scatter plot.
D)  The data plot is a diagonal through the origin.E) A) and D)
F) A) and B)

Question 17

In the regression equation,what does x denote?

Accepted Answer

A)  Score on the variable x
B)  Value of the slope of the line
C)  Variable to be predicted
D)  Intercept with the y-axisE) None of the above
F) All of the above

Question 18

Which of the following questions could not be answered by a correlational study?

Accepted Answer

A)  How were things done in the past and how might they be applicable to present-day concerns?
B)  Is X related to Y?
C)  What is the relationship between a large group of variables and what predictions can be made about them?
D)  How well can A predict B?E) All of the above
F) B) and C)

Question 19

If more than one predictor is used to predict the criterion at the same time then?

Accepted Answer

A)  This does not achieve anything.
B)  This is a multiple regression,and there are ways of determining which predictor is best.
C)  This is a multiple regression,and there are no ways of determining which predictor is best.
D)  Predictors will always suffer from heteroscedasticity.E) A) and B)
F) B) and C)

Question 20

Which of the following is incorrect?

Accepted Answer

A)  Linear regression helps us discover by how much y will change when x changes.
B)  Linear regression relies on the line of best fit.
C)  The line of best fit with linear regression maximizes the distance between the scores and the regression line.
D)  Linear regression utilizes a line drawn through the scores where total error is minimized.E) C) and D)
F) A) and B) C

Exam 9: Regression

Linear regression could be used to predict someone's statistical exam score from their mathematical ability.

Correct AnswerverifiedShow Answer

When b = 0,the line of best fit will usually be:

Correct AnswerverifiedShow Answer

Mortality threatens external validity.Why?

Correct AnswerverifiedShow Answer

Linear regression means that for an increase in the x variable,there will be a constant change to y.

Correct AnswerverifiedShow Answer

What does an error in the regression mean?

Correct AnswerverifiedShow Answer

Correlational research tests for only negative relationships between variables.

Correct AnswerverifiedFalse

The slope intercept formula is?

Correct AnswerverifiedShow Answer

Which of the following could affect internal validity in a correlational study?

Correct AnswerverifiedShow Answer

Unless there is a perfect relationship between X and Y,then predictions for Y will?

Correct AnswerverifiedShow Answer

The variable used to make a prediction is?

Correct AnswerverifiedC

What does a slope of 2.50 indicate?

Correct AnswerverifiedShow Answer

In the regression equation,what does y denote?

Correct AnswerverifiedShow Answer

Heteroscedasticity occurs when?

Correct AnswerverifiedShow Answer

Correlational research only aims to identify links between cultural values in different populations.

Correct AnswerverifiedShow Answer

Multiple regression is a technique which?

Correct AnswerverifiedShow Answer

A regression analysis is not suitable when?

Correct AnswerverifiedShow Answer

In the regression equation,what does x denote?

Correct AnswerverifiedShow Answer

Which of the following questions could not be answered by a correlational study?

Correct AnswerverifiedShow Answer

If more than one predictor is used to predict the criterion at the same time then?

Correct AnswerverifiedShow Answer

Which of the following is incorrect?

Correct AnswerverifiedC

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False

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C

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C