Question 1

The slope indicates the number of units Y is predicted to change given a _____ in X.

Accepted Answer

A) linear change 
B) zero order change 
C) two unit reduction 
D) one unit change 
A) linear change 
B) zero order change 
C) two unit reduction 
D) one unit change

Question 2

The linear model has the general form Y = á + âX + å.

Accepted Answer

A) True 
 B)False

Question 3

If we found a correlation of +.32,the calculation of the strength of the relationship (h2)would indicate that we observed a _____ relationship between the two variables.

Accepted Answer

A) weak 
B) moderate 
C) strong 
D) insufficient information to determine 
A) weak 
B) moderate 
C) strong 
D) insufficient information to determine

Question 4

When a relationship is found using the Pearson correlation technique on sample data,this does not mean there is a non-zero correlation in the population,because of _____.

Accepted Answer

A) sampling error 
B) sample size 
C) restriction of range 
D) none of these,since it will always exist in the population if it is present in the sample 
A) sampling error 
B) sample size 
C) restriction of range 
D) none of these,since it will always exist in the population if it is present in the sample

Question 5

The strength of the relationship between two variables in a correlational analysis can be represented by:

Accepted Answer

A) eta-squared 
B) r2 
C) eta-squared and r2 
D) t2 and F2 
A) eta-squared 
B) r2 
C) eta-squared and r2 
D) t2 and F2

Question 6

The mean of a sampling distribution of r is approximately equal to r.

Accepted Answer

A) True 
 B)False

Question 7

The estimated standard error of estimate estimates the average error that will be made
across individuals when predicting scores on X from the regression equation.

Accepted Answer

A) True 
 B)False

Question 8

The measure of the strength of the relationship found using the Pearson correlation is _______.

Accepted Answer

A) r2 
B) eta2 
C) SSERROR/ SSTOTAL 
D) a and b 
A) r2 
B) eta2 
C) SSERROR/ SSTOTAL 
D) a and b

Question 9

Suppose research conducted at a secretarial school found that reading speed correlated highly with typing speed after training,and that the regression equation based on the data from this school took the form of Y=25+.25X.A new applicant has a reading speed of 400 words per minute.With training in typing,she will probably learn to type at the rate of _____ words per minute.

Accepted Answer

A) 100 
B) 125 
C) 75 
D) 150 
A) 100 
B) 125 
C) 75 
D) 150

Question 10

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

Accepted Answer

The answer of An advantage of the regression equation is...

Question 11

In the equation for the linear model,å is called an error score that reflects all factors that
are uncorrelated with X that influence Y.

Accepted Answer

A) True 
 B)False

Question 12

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is:

Accepted Answer

A) relatively low 
B) relatively high 
C) 0 
D) +1.00 or -1.00 
A) relatively low 
B) relatively high 
C) 0 
D) +1.00 or -1.00

Question 13

If X helps to predict Y,then the estimated _____ will be smaller than the estimated _____ of Y.

Accepted Answer

A) standard deviation;standard error of estimate 
B) standard error of estimate;standard deviation 
C) standard error of estimate;slope 
D) error scores;standard deviation 
A) standard deviation;standard error of estimate 
B) standard error of estimate;standard deviation 
C) standard error of estimate;slope 
D) error scores;standard deviation

Question 14

In regression the variable being predicted is formally known as the ____________________.

Accepted Answer

The answer of In regression the variable being predicted is...

Question 15

In the linear model Y = á + âX + å,what does the å term represent?

Accepted Answer

It is rare in the behavioral sciences th

Question 16

Another index of the strength of the effect that one variable has on another is the:

Accepted Answer

A) slope 
B) intercept 
C) error score 
D) none of these 
A) slope 
B) intercept 
C) error score 
D) none of these

Question 17

The estimated standard error of the estimate is an index of how much error will occur in the population when:

Accepted Answer

A) predicting Y from X 
B) predicting å 
C) predicting Y from å 
D) predicting á from â 
A) predicting Y from X 
B) predicting å 
C) predicting Y from å 
D) predicting á from â

Question 18

Suppose you were interested in conducting a study examining how ratings of similarity between oneself and another person were related to how attracted one is to the other person.You conduct this study by giving participants a description of a person named "Sarah." Participants are asked to read the description and then rate on a scale from 1 to 10 how similar Sarah is to themselves.You also ask each participant to rate on a scale from 1 to 20 how likeable they think Sarah is.
X = rating of similarity to oneself
Y = rating of likability of the target ("Sarah")
62 people participate in your study,and you obtain the following data:   
SCP = 66   
SSX = 40
SSY = 136
Calculate the Pearson correlation coefficient (r)for the above data.

Accepted Answer

Question 19

The value of r2 represents the proportion of variability _____.

Accepted Answer

A) in the dependent variable that is associated with the independent variable 
B) that is due to disturbance variables 
C) that is unaccounted for 
A) in the dependent variable that is associated with the independent variable 
B) that is due to disturbance variables 
C) that is unaccounted for

Question 20

A regression equation can be used to identify the value of Y that is predicted to be paired
with an individual's score on X.

Accepted Answer

A) True 
 B)False

The slope indicates the number of units Y is predicted to change given a _____ in X.

The linear model has the general form Y = á + âX + å.

If we found a correlation of +.32,the calculation of the strength of the relationship (h²)would indicate that we observed a _____ relationship between the two variables.

When a relationship is found using the Pearson correlation technique on sample data,this does not mean there is a non-zero correlation in the population,because of _____.

The strength of the relationship between two variables in a correlational analysis can be represented by:

The mean of a sampling distribution of r is approximately equal to r.

The estimated standard error of estimate estimates the average error that will be made across individuals when predicting scores on X from the regression equation.

The measure of the strength of the relationship found using the Pearson correlation is _______.

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

In the equation for the linear model,å is called an error score that reflects all factors that are uncorrelated with X that influence Y.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is:

If X helps to predict Y,then the estimated _ will be smaller than the estimated _ of Y.

In regression the variable being predicted is formally known as the ____________________.

In the linear model Y = á + âX + å,what does the å term represent?

Another index of the strength of the effect that one variable has on another is the:

The estimated standard error of the estimate is an index of how much error will occur in the population when:

The value of r² represents the proportion of variability _____.

A regression equation can be used to identify the value of Y that is predicted to be paired with an individual's score on X.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 14: Pearson Correlation and Regression: Inferential Aspects

The slope indicates the number of units Y is predicted to change given a _____ in X.

The linear model has the general form Y = á + âX + å.

If we found a correlation of +.32,the calculation of the strength of the relationship (h2)would indicate that we observed a _____ relationship between the two variables.

When a relationship is found using the Pearson correlation technique on sample data,this does not mean there is a non-zero correlation in the population,because of _____.

The strength of the relationship between two variables in a correlational analysis can be represented by:

The mean of a sampling distribution of r is approximately equal to r.

The estimated standard error of estimate estimates the average error that will be made across individuals when predicting scores on X from the regression equation.

The measure of the strength of the relationship found using the Pearson correlation is _______.

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

In the equation for the linear model,å is called an error score that reflects all factors that are uncorrelated with X that influence Y.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is:

If X helps to predict Y,then the estimated _____ will be smaller than the estimated _____ of Y.

In regression the variable being predicted is formally known as the ____________________.

In the linear model Y = á + âX + å,what does the å term represent?

Another index of the strength of the effect that one variable has on another is the:

The estimated standard error of the estimate is an index of how much error will occur in the population when:

The value of r2 represents the proportion of variability _____.

A regression equation can be used to identify the value of Y that is predicted to be paired with an individual's score on X.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

If we found a correlation of +.32,the calculation of the strength of the relationship (h²)would indicate that we observed a _____ relationship between the two variables.

If X helps to predict Y,then the estimated _ will be smaller than the estimated _ of Y.

The value of r² represents the proportion of variability _____.