Question 1

Calculate the Y-intercept from the following data.
b1 = 0.78; b2 = 0.88   = 4.20;   = 3.75;   = 2.98

Accepted Answer

Question 2

What measures the combined relationship of all the predictors with the criterion?

Accepted Answer

A)  regression coefficient 
B)  multiple correlation 
C)  correlation matrix 
D)  regression equation 
A)  regression coefficient 
B)  multiple correlation 
C)  correlation matrix 
D)  regression equation

Question 3

______ refers to a statistical procedure in which a straight line is fitted to a set of data to best represent the relationship between two variables.

Accepted Answer

A)  Regression 
B)  Linear Regression 
C)  Correlation 
D)  Multiple correlation 
A)  Regression 
B)  Linear Regression 
C)  Correlation 
D)  Multiple correlation

Question 4

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of accidents they have been involved in develops the following regression equation: Y' = 1.75 + .03(X). In this example, if a driver's average driving speed is 75 MPH, you would predict he or she would get into ______ accidents

Accepted Answer

A)  .03 
B)  1.75 
C)  4 
D)  75 
A)  .03 
B)  1.75 
C)  4 
D)  75

Question 5

The R is also known as the ______.

Accepted Answer

A)  regression coefficient 
B)  multiple correlation coefficient 
C)  correlation coefficient 
D)  correlation matrix 
A)  regression coefficient 
B)  multiple correlation coefficient 
C)  correlation coefficient 
D)  correlation matrix

Question 6

Which of the following is a disadvantage of multiple correlation compared with Pearson correlation?

Accepted Answer

A)  Interpreting a Pearson correlation is more complicated than interpreting a multiple correlation. 
B)  Interpreting a multiple correlation is more complicated than interpreting a Pearson correlation. 
C)  Pearson correlation allows for a better understanding of the relationship between two variables. 
D)  Pearson correlation allows for a comparison of more than two predictors. 
A)  Interpreting a Pearson correlation is more complicated than interpreting a multiple correlation. 
B)  Interpreting a multiple correlation is more complicated than interpreting a Pearson correlation. 
C)  Pearson correlation allows for a better understanding of the relationship between two variables. 
D)  Pearson correlation allows for a comparison of more than two predictors.

Question 7

Use the following information for Questions 
  
-Calculate the F.

Accepted Answer

The answer of Use the following information for Questions 
...

Question 8

Use the following information for Questions 
  
-Calculate the R.

Accepted Answer

The answer of Use the following information for Questions 
...

Question 9

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of moving violations they receive develops the following regression equation: Y'= 1.85 + .05(X). In this example, 1.85 refers to ______.

Accepted Answer

A)  the Y-intercept 
B)  the slope of the equation 
C)  a driver's average speed (MPH) 
D)  a driver's number of moving violations 
A)  the Y-intercept 
B)  the slope of the equation 
C)  a driver's average speed (MPH) 
D)  a driver's number of moving violations

Question 10

The ______ is used to test the significance by transforming R.

Accepted Answer

A)  a 
B)  b 
C)  R2 
D)  F-ratio 
A)  a 
B)  b 
C)  R2 
D)  F-ratio

Question 11

______ is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables.

Accepted Answer

A)  Linear regression equation 
B)  Regression 
C)  Correlation Matrix 
D)  Regression coefficient 
A)  Linear regression equation 
B)  Regression 
C)  Correlation Matrix 
D)  Regression coefficient

Question 12

In a sample of 60 students, the combination of household income and high school GPA predicting college GPA had an R = .45, F(2, 57) = 7.34, the researcher would ______.

Accepted Answer

A) not reject the null hypothesis (p > .05) B) not reject the null hypothesis (p .05) D) reject the null hypothesis (p <.05) A) not reject the null hypothesis (p > .05) B) not reject the null hypothesis (p .05) D) reject the null hypothesis (p <.05)

Question 13

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of accidents they have been involved in develops the following regression equation: Y'= 1.75 + .03(X). In this example, X refers to ______.

Accepted Answer

A)  the Y-intercept 
B)  the slope of the equation 
C)  a driver's average speed (MPH) 
D)  a driver's number of accidents 
A)  the Y-intercept 
B)  the slope of the equation 
C)  a driver's average speed (MPH) 
D)  a driver's number of accidents

Question 14

For a sample of 65 students analyzing 3 predictor variables, what is the degrees of freedom for the numerator of the F-ratio equation?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  65 
A)  1 
B)  2 
C)  3 
D)  65

Question 15

A researcher studying the effect of gender on feelings of safety at night develops the following regression equation: Y' = 1.12 + .98(X). In this example, Y' refers to ______, .98 refers to ______, and X refers to ______.

Accepted Answer

A)  feelings of safety; the slope of the equation; gender 
B)  the slope of the equation; feelings of safety; gender 
C)  gender; the slope of the equation; feelings of safety 
D)  the intercept; the slope of the equation; gender 
A)  feelings of safety; the slope of the equation; gender 
B)  the slope of the equation; feelings of safety; gender 
C)  gender; the slope of the equation; feelings of safety 
D)  the intercept; the slope of the equation; gender

Question 16

'Correlation' is to 'regression' as ______.

Accepted Answer

A)  'samples' are to 'populations' 
B)  'linear' is to 'nonlinear' 
C)  'significance' is to 'nonsignificance' 
D)  'understanding' is to 'prediction' 
A)  'samples' are to 'populations' 
B)  'linear' is to 'nonlinear' 
C)  'significance' is to 'nonsignificance' 
D)  'understanding' is to 'prediction'

Question 17

Use the following information for Questions
  
-Calculate the R.

Accepted Answer

The answer of Use the following information for Questions
 ...

Question 18

In a sample of 54 students, the combination of household income and high school GPA predicting college GPA had an R = .34, F(3, 50) = 2.34, the researcher would ______.

Accepted Answer

A) not reject the null hypothesis (p > .05) B) not reject the null hypothesis (p .05) D) reject the null hypothesis (p <.05) A) not reject the null hypothesis (p > .05) B) not reject the null hypothesis (p .05) D) reject the null hypothesis (p <.05)

Question 19

If there is no relationship between two variables, the linear regression equation looks like a ______ line.

Accepted Answer

A)  skewed 
B)  curved 
C)  horizontal 
D)  normal 
A)  skewed 
B)  curved 
C)  horizontal 
D)  normal

Question 20

The R is also known as the regression coefficient

Accepted Answer

A) True 
 B)False

Calculate the Y-intercept from the following data. b₁ = 0.78; b₂ = 0.88 = 4.20; = 3.75; = 2.98

What measures the combined relationship of all the predictors with the criterion?

______ refers to a statistical procedure in which a straight line is fitted to a set of data to best represent the relationship between two variables.

The R is also known as the ______.

Which of the following is a disadvantage of multiple correlation compared with Pearson correlation?

Use the following information for Questions -Calculate the F.

Use the following information for Questions -Calculate the R.

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of moving violations they receive develops the following regression equation: Y'= 1.85 + .05(X). In this example, 1.85 refers to ______.

The ______ is used to test the significance by transforming R.

______ is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables.

In a sample of 60 students, the combination of household income and high school GPA predicting college GPA had an R = .45, F(2, 57) = 7.34, the researcher would ______.

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of accidents they have been involved in develops the following regression equation: Y'= 1.75 + .03(X). In this example, X refers to ______.

For a sample of 65 students analyzing 3 predictor variables, what is the degrees of freedom for the numerator of the F-ratio equation?

A researcher studying the effect of gender on feelings of safety at night develops the following regression equation: Y' = 1.12 + .98(X). In this example, Y' refers to , .98 refers to , and X refers to __.

'Correlation' is to 'regression' as ______.

Use the following information for Questions -Calculate the R.

In a sample of 54 students, the combination of household income and high school GPA predicting college GPA had an R = .34, F(3, 50) = 2.34, the researcher would ______.

If there is no relationship between two variables, the linear regression equation looks like a ______ line.

The R is also known as the regression coefficient

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

Errors in Hypothesis Testing, Statistical Power, and Effect Size

One-Way Analysis of Variance Anova

Two-Way Analysis of Variance Anova

Correlation

Chi-Square

Filters

Exam 14: Linear Regression and Multiple Correlation

Calculate the Y-intercept from the following data. b1 = 0.78; b2 = 0.88 = 4.20; = 3.75; = 2.98

What measures the combined relationship of all the predictors with the criterion?

______ refers to a statistical procedure in which a straight line is fitted to a set of data to best represent the relationship between two variables.

The R is also known as the ______.

Which of the following is a disadvantage of multiple correlation compared with Pearson correlation?

Use the following information for Questions -Calculate the F.

Use the following information for Questions -Calculate the R.

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of moving violations they receive develops the following regression equation: Y'= 1.85 + .05(X). In this example, 1.85 refers to ______.

The ______ is used to test the significance by transforming R.

______ is the use of a relationship between two or more correlated variables to predict values of one variable from values of other variables.

In a sample of 60 students, the combination of household income and high school GPA predicting college GPA had an R = .45, F(2, 57) = 7.34, the researcher would ______.

A researcher studying the relationship between drivers' average speed (MPH) on the highway and number of accidents they have been involved in develops the following regression equation: Y'= 1.75 + .03(X). In this example, X refers to ______.

For a sample of 65 students analyzing 3 predictor variables, what is the degrees of freedom for the numerator of the F-ratio equation?

A researcher studying the effect of gender on feelings of safety at night develops the following regression equation: Y' = 1.12 + .98(X). In this example, Y' refers to ______, .98 refers to ______, and X refers to ______.

'Correlation' is to 'regression' as ______.

Use the following information for Questions -Calculate the R.

In a sample of 54 students, the combination of household income and high school GPA predicting college GPA had an R = .34, F(3, 50) = 2.34, the researcher would ______.

If there is no relationship between two variables, the linear regression equation looks like a ______ line.

The R is also known as the regression coefficient

Introduction to Statistics

Examining Data: Tables and Figures

Measures of Central Tendency

Measures of Variability

Normal Distributions

Probability and Hypothesis Testing

Testing One Sample Mean

Estimating the Mean of a Population

Testing the Difference Between Two Means

Errors in Hypothesis Testing, Statistical Power, and Effect Size

One-Way Analysis of Variance Anova

Two-Way Analysis of Variance Anova

Correlation

Chi-Square

Filters

Calculate the Y-intercept from the following data. b₁ = 0.78; b₂ = 0.88 = 4.20; = 3.75; = 2.98

A researcher studying the effect of gender on feelings of safety at night develops the following regression equation: Y' = 1.12 + .98(X). In this example, Y' refers to , .98 refers to , and X refers to __.