Question 1

When there is no relationship between variables, ______.

Accepted Answer

A)  the scatterplot is inaccurate 
B)  an accurate prediction of the mean of the other variable can be made 
C)  a calculation error has been made 
D)  no accurate prediction can be made 
A)  the scatterplot is inaccurate 
B)  an accurate prediction of the mean of the other variable can be made 
C)  a calculation error has been made 
D)  no accurate prediction can be made

Question 2

In a sample of 70 students, the combination of household income and high school GPA predicting college GPA had an R = .54, F(4, 65) = 8.16, 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 3

Multiple correlation may be defined as ______.

Accepted Answer

A)  the measurement of the relationship between two or more predictor variables and a criterion variable 
B)  a family of statistical procedures asses the relationship among one predictor variable and a criterion variable 
C)  a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable 
D)  mathematical equation that predicts a score on a criterion variable from scores on two or more predictor variables 
A)  the measurement of the relationship between two or more predictor variables and a criterion variable 
B)  a family of statistical procedures asses the relationship among one predictor variable and a criterion variable 
C)  a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable 
D)  mathematical equation that predicts a score on a criterion variable from scores on two or more predictor variables

Question 4

If you were to develop a linear regression equation that predicts violent behaviors from number of times in prison and age, what would be the Y-intercept (a) of the regression equation?

Accepted Answer

A)  13.20 
B)  11.13 
C)  4.56 
D)  3.65 
A)  13.20 
B)  11.13 
C)  4.56 
D)  3.65

Question 5

If you were to develop a linear regression equation that predicts violent behaviors from education and number of times in prison, what would be the Y-intercept (a) of the regression equation?

Accepted Answer

A)  -1.49 
B)  0.58 
C)  4.56 
D)  3.65 
A)  -1.49 
B)  0.58 
C)  4.56 
D)  3.65

Question 6

If you were to develop a linear regression equation that predicts violent behaviors from education and age, what would be the Y-intercept (a) of the regression equation?

Accepted Answer

A)  13.20 
B)  -8.06 
C)  -1.49 
D)  3.65 
A)  13.20 
B)  -8.06 
C)  -1.49 
D)  3.65

Question 7

For data that yielded an intercept of 3.66 and a slope of .15, what would be the appropriate linear regression equation?

Accepted Answer

A)  3.66 = a + .15 (X) 
B)  3.66 = a + b (.15) 
C)  Y' = 3.66 + b (.15) 
D)  Y' = 3.66 + .15 (X) 
A)  3.66 = a + .15 (X) 
B)  3.66 = a + b (.15) 
C)  Y' = 3.66 + b (.15) 
D)  Y' = 3.66 + .15 (X)

Question 8

For a sample of 100 students analyzing 4 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

Accepted Answer

A)  3 
B)  4 
C)  95 
D)  98 
A)  3 
B)  4 
C)  95 
D)  98

Question 9

The value for the slope of the regression equation is ______.

Accepted Answer

A)  always a positive number 
B)  always a negative number 
C)  either positive or negative 
D)  a squared result 
A)  always a positive number 
B)  always a negative number 
C)  either positive or negative 
D)  a squared result

Question 10

For α = .05 and df = 2, 55, the critical value for the F-ratio would be ______.

Accepted Answer

A)  3.10 
B)  3.23 
C)  5.17 
D)  19.47 
A)  3.10 
B)  3.23 
C)  5.17 
D)  19.47

Question 11

'Correlation' is to 'regression' as ______.

Accepted Answer

A)  'relationship' is to 'prediction' 
B)  'significant' is to 'nonsignificant' 
C)  'nature' is to 'direction' 
D)  'theory' is to 'hypothesis' 
A)  'relationship' is to 'prediction' 
B)  'significant' is to 'nonsignificant' 
C)  'nature' is to 'direction' 
D)  'theory' is to 'hypothesis'

Question 12

Correlation involves the prediction of a criterion variable while regression involves measuring the relationship between variables.

Accepted Answer

A) True 
 B)False

Question 13

A researcher studying the relationship between people's perceptions of police on their feelings of safety in their neighborhood develops the following regression equation: Y' = 2.14 + .69(X). In this example, .69 refers to ______.

Accepted Answer

A)  the Y-intercept 
B)  the slope of the equation 
C)  feelings of safety 
D)  perceptions of police 
A)  the Y-intercept 
B)  the slope of the equation 
C)  feelings of safety 
D)  perceptions of police

Question 14

If you were to develop a linear regression equation that predicts the number of crimes from age, what would be the slope (b) of the regression equation?   Pearson r = .30

Accepted Answer

A)  .06 
B)  .21 
C)  .30 
D)  1.46 
A)  .06 
B)  .21 
C)  .30 
D)  1.46

Question 15

Multiple correlation may be defined as a set of statistical procedures used to assess the relationship between two criterion variables and a predictor variable.

Accepted Answer

A) True 
 B)False

Question 16

Multiple correlation is defined as a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable.

Accepted Answer

A) True 
 B)False

Question 17

For a sample of 80 students analyzing 2 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

Accepted Answer

A)  2 
B)  77 
C)  78 
D)  80 
A)  2 
B)  77 
C)  78 
D)  80

Question 18

Calculate the Y-intercept from the following data.
b1 = 1.10; b2 0.56    = 3.66;   = 10.54;   = 9.50

Accepted Answer

Question 19

Correlation involves measuring the ______ between variables while regression involves ______.

Accepted Answer

A)  understanding; prediction 
B)  understanding; relationship 
C)  prediction; relationship 
D)  relationship; prediction 
A)  understanding; prediction 
B)  understanding; relationship 
C)  prediction; relationship 
D)  relationship; prediction

When there is no relationship between variables, ______.

In a sample of 70 students, the combination of household income and high school GPA predicting college GPA had an R = .54, F(4, 65) = 8.16, the researcher would ______.

Multiple correlation may be defined as ______.

If you were to develop a linear regression equation that predicts violent behaviors from number of times in prison and age, what would be the Y-intercept (a) of the regression equation?

If you were to develop a linear regression equation that predicts violent behaviors from education and number of times in prison, what would be the Y-intercept (a) of the regression equation?

If you were to develop a linear regression equation that predicts violent behaviors from education and age, what would be the Y-intercept (a) of the regression equation?

For data that yielded an intercept of 3.66 and a slope of .15, what would be the appropriate linear regression equation?

For a sample of 100 students analyzing 4 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

The value for the slope of the regression equation is ______.

For α = .05 and df = 2, 55, the critical value for the F-ratio would be ______.

'Correlation' is to 'regression' as ______.

Correlation involves the prediction of a criterion variable while regression involves measuring the relationship between variables.

A researcher studying the relationship between people's perceptions of police on their feelings of safety in their neighborhood develops the following regression equation: Y' = 2.14 + .69(X). In this example, .69 refers to ______.

If you were to develop a linear regression equation that predicts the number of crimes from age, what would be the slope (b) of the regression equation? Pearson r = .30

Multiple correlation may be defined as a set of statistical procedures used to assess the relationship between two criterion variables and a predictor variable.

Multiple correlation is defined as a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable.

For a sample of 80 students analyzing 2 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

Calculate the Y-intercept from the following data. b₁ = 1.10; b₂0.56 = 3.66; = 10.54; = 9.50

Correlation involves measuring the between variables while regression involves .

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

When there is no relationship between variables, ______.

In a sample of 70 students, the combination of household income and high school GPA predicting college GPA had an R = .54, F(4, 65) = 8.16, the researcher would ______.

Multiple correlation may be defined as ______.

If you were to develop a linear regression equation that predicts violent behaviors from number of times in prison and age, what would be the Y-intercept (a) of the regression equation?

If you were to develop a linear regression equation that predicts violent behaviors from education and number of times in prison, what would be the Y-intercept (a) of the regression equation?

If you were to develop a linear regression equation that predicts violent behaviors from education and age, what would be the Y-intercept (a) of the regression equation?

For data that yielded an intercept of 3.66 and a slope of .15, what would be the appropriate linear regression equation?

For a sample of 100 students analyzing 4 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

The value for the slope of the regression equation is ______.

For α = .05 and df = 2, 55, the critical value for the F-ratio would be ______.

'Correlation' is to 'regression' as ______.

Correlation involves the prediction of a criterion variable while regression involves measuring the relationship between variables.

A researcher studying the relationship between people's perceptions of police on their feelings of safety in their neighborhood develops the following regression equation: Y' = 2.14 + .69(X). In this example, .69 refers to ______.

If you were to develop a linear regression equation that predicts the number of crimes from age, what would be the slope (b) of the regression equation? Pearson r = .30

Multiple correlation may be defined as a set of statistical procedures used to assess the relationship between two criterion variables and a predictor variable.

Multiple correlation is defined as a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable.

For a sample of 80 students analyzing 2 predictor variables, what is the degrees of freedom for the denominator of the F-ratio equation?

Calculate the Y-intercept from the following data. b1 = 1.10; b2 0.56 = 3.66; = 10.54; = 9.50

Correlation involves measuring the ______ between variables while regression involves ______.

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 = 1.10; b₂0.56 = 3.66; = 10.54; = 9.50

Correlation involves measuring the between variables while regression involves .