Deck 9: Regression

Question 1

There is a negative relationship between number of drinks consumed and score on a test.The first participant drinks 3 drinks.The second participant drinks 5 drinks.What will their respective test scores be,if the intercept is 18 and the slope is -3.00?

A)They cannot be predicted
B)87 and 51,respectively
C)9 and 3,respectively
D)27 and 33,respectively

Answer 1

C

Question 2

What does a slope of 2.50 indicate?

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.

Answer 2

C

Question 3

Which of the following is incorrect?

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.

Answer 3

C

Question 4

Correlational research tests for only negative relationships between variables.

Question 5

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

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?

Question 6

The variable used to make a prediction is?

A)Correlational variable
B)Criterion variable
C)Predictor variable
D)None of the above

Question 7

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

Question 8

Structural modelling uses the correlational technique of path analysis.

Question 9

Mortality threatens external validity.Why?

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.

Question 10

In the regression equation,what does x denote?

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

Question 11

Multiple regression is a technique which?

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.

Question 12

In the regression equation,what does b denote?

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

Question 13

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

Question 14

In the regression equation,what does y denote?

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

Question 15

A regression analysis is not suitable when?

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.

Question 16

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

Question 17

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

A)Vertical
B)Horizontal
C)Evenly distributed
D)A diagonal through the origin

Question 18

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

A)Standard deviation
B)Regression
C)Causality
D)Location threat

Question 19

The slope intercept formula is?

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

Question 20

In the regression equation,what does a denote?

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

Question 21

What does an error in the regression mean?

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.

Question 22

The standard error of the estimate is to the regression line as the standard deviation is to what?

A)Mean
B)SS_R
C)Mode
D)Median

Question 23

Heteroscedasticity occurs when?

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.

Question 24

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

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.

Question 25

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

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.