Question 1

In addition to random sampling,interval-ratio level of measurement,and a normal sampling distribution,model assumptions for testing Pearson's r for significance include

Accepted Answer

A) bivariate normal distributions. 
B) a linear relationship. 
C) uniformity in the variance of the Y scores around the regression line for all values of X. 
D) all of the above

Question 2

On a scattergram,the regression line

Accepted Answer

A) is drawn parallel to the horizontal axis. 
B) is always perpendicular to the vertical axis. 
C) comes as close as possible to touching every score. 
D) touches at least half of the scores.

Question 3

If the slope (b)is zero,the value of r

Accepted Answer

A) would also be zero. 
B) would be 1.00. 
C) would be -1.00. 
D) cannot be determined from the information given.

Question 4

If you wanted to measure the association between the age of people (in years)and the number of arrests for driving while intoxicated,the most appropriate measure of association would be

Accepted Answer

A) gammA. 
B) lambda. 
C) phi. 
D) Pearson's r.

Question 5

Visual examination of a scattergram indicates the existence of an association between variables when

Accepted Answer

A) the distribution of Y changes as X changes. 
B) the regression line is parallel to the horizontal axis. 
C) the regression line is perpendicular to the horizontal axis. 
D) no single regression line can be founD.

Question 6

When testing Pearson's r for significance,the null hypothesis is that

Accepted Answer

A) there is no difference between the variables in the population from which the sample was drawn. 
B) there is no linear association between the variables in the population from which the sample was drawn. 
C) there is no difference between the sample and the population from which the sample was drawn. 
D) r = 1.00.

Question 7

If a = 5 and b = 10,what would the value of Y be when X = 100?

Accepted Answer

A) unknown,more information is needed 
B) 1000 
C) 1005 
D) 5001

Question 8

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

Accepted Answer

A) is parallel to the horizontal axis. 
B) does not touch all of the scores. 
C) is not an equal distance from all of the scores. 
D) is bimodal.

Question 9

The amount of error in predicting Y that remains after X has been taken into account is

Accepted Answer

A) the unexplained variation of Y. 
B) r - 1.00. 
C) always zero. 
D) r.

Question 10

In a study of the relationship between geographical mobility (number of times a person has changed residences)and number of friends,Pearson's r2 is reported as .40.Which of the following would be a correct interpretation?

Accepted Answer

A) Mobility explains 16% of the variation in number of friends. 
B) There is a strong positive relationship between number of friends and mobility. 
C) As mobility increases,number of friends decreases. 
D) Mobility explains 40% of the variation in number of friends.

Question 11

The conditional mean of Y for any value of X is found by

Accepted Answer

A) adding the Y scores for the specific value of X and dividing by N. 
B) adding all the Y scores and dividing by X. 
C) subtracting the mean of Y from the overall mean of X. 
D) any of the above

Exam 15: Association Between Variables Measured at the Interval-Ratio Level

In addition to random sampling,interval-ratio level of measurement,and a normal sampling distribution,model assumptions for testing Pearson's r for significance include

On a scattergram,the regression line

If the slope (b) is zero,the value of r

If you wanted to measure the association between the age of people (in years) and the number of arrests for driving while intoxicated,the most appropriate measure of association would be

Visual examination of a scattergram indicates the existence of an association between variables when

When testing Pearson's r for significance,the null hypothesis is that

If a = 5 and b = 10,what would the value of Y be when X = 100?

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

The amount of error in predicting Y that remains after X has been taken into account is

In a study of the relationship between geographical mobility (number of times a person has changed residences) and number of friends,Pearson's r² is reported as .40.Which of the following would be a correct interpretation?

The conditional mean of Y for any value of X is found by

Exam 15: Association Between Variables Measured at the Interval-Ratio Level

In addition to random sampling,interval-ratio level of measurement,and a normal sampling distribution,model assumptions for testing Pearson's r for significance include

On a scattergram,the regression line

If the slope (b) is zero,the value of r

If you wanted to measure the association between the age of people (in years) and the number of arrests for driving while intoxicated,the most appropriate measure of association would be

Visual examination of a scattergram indicates the existence of an association between variables when

When testing Pearson's r for significance,the null hypothesis is that

If a = 5 and b = 10,what would the value of Y be when X = 100?

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

The amount of error in predicting Y that remains after X has been taken into account is

In a study of the relationship between geographical mobility (number of times a person has changed residences) and number of friends,Pearson's r2 is reported as .40.Which of the following would be a correct interpretation?

The conditional mean of Y for any value of X is found by

In a study of the relationship between geographical mobility (number of times a person has changed residences) and number of friends,Pearson's r² is reported as .40.Which of the following would be a correct interpretation?