Question 1

Correlation coefficient and proportionate reduction in error are inversely related; that is, as the correlation coefficient increases, proportion reduction in error decreases.

Accepted Answer

A) True 
 B)False  False

Question 2

Unlike correlation, regression can prove causal direction of a relation between two variables.

Accepted Answer

A) True 
 B)False  False

Question 3

An independent variable that makes a unique contribution to the prediction of a dependent variable is a(n) _____ variable.

Accepted Answer

A)  orthogonal 
B)  latent 
C)  manifest 
D)  unique 
A)  orthogonal 
B)  latent 
C)  manifest 
D)  unique A

Question 4

A latent variable is:

Accepted Answer

A)  an idea or construct we cannot directly observe, but still wish to measure. 
B)  a variable that can be directly observed and is measured in a research study. 
C)  the dependent variable when performing structural equation modeling. 
D)  the dependent variable when performing multiple regression. 
A)  an idea or construct we cannot directly observe, but still wish to measure. 
B)  a variable that can be directly observed and is measured in a research study. 
C)  the dependent variable when performing structural equation modeling. 
D)  the dependent variable when performing multiple regression.

Question 5

If shyness is negatively correlated with the number of friendships a person has, which statement regarding the line of best fit, or regression line, would be true?

Accepted Answer

A)  The line will start in the lower left corner of the graph and end in the upper right corner. 
B)  The line will start in upper left corner of the graph and end in the lower right corner. 
C)  Because the correlation is negative, a regression line cannot be drawn. 
D)  The y intercept will be negative. 
A)  The line will start in the lower left corner of the graph and end in the upper right corner. 
B)  The line will start in upper left corner of the graph and end in the lower right corner. 
C)  Because the correlation is negative, a regression line cannot be drawn. 
D)  The y intercept will be negative.

Question 6

If the correlation between the number of beers consumed over a semester and the GPA for the semester is -0.56, what would be the predicted z score for a person who has a z score of -0.95 for the number of beers consumed?

Accepted Answer

A)  0.59 
B)  -0.59 
C)  0.53 
D)  -0.53 
A)  0.59 
B)  -0.59 
C)  0.53 
D)  -0.53

Question 7

Carrico, Gifford, and Moos (2007) studied the relation between a substance abuser's spirituality/religiosity and her participation in a 12-step program.Participants in the study rated their agreement, on a scale from 1 to 5, with statements such as, "In my life I experience the presence of the divine." In this study, spirituality/religiosity is the _____ and participants' ratings of agreement to the specific statements are the _____.

Accepted Answer

A)  dependent variable; independent variables 
B)  independent variable; dependent variables 
C)  manifest variable; latent variables 
D)  latent variable; manifest variables 
A)  dependent variable; independent variables 
B)  independent variable; dependent variables 
C)  manifest variable; latent variables 
D)  latent variable; manifest variables

Question 8

If someone reports that she typically eats 15 grams of saturated fat daily and exercises 1 hour daily, what would her cholesterol level be predicted to be?

Accepted Answer

A)  75 
B)  145 
C)  180 
D)  201 
A)  75 
B)  145 
C)  180 
D)  201

Question 9

For the equation Ŷ = 130 + 5(X1) + 3(X2), which statement is true?

Accepted Answer

A)  130 is the slope of the line. 
B)  This is a simple linear regression equation. 
C)  There are two slopes. 
D)  The y intercept is 8. 
A)  130 is the slope of the line. 
B)  This is a simple linear regression equation. 
C)  There are two slopes. 
D)  The y intercept is 8.

Question 10

In a study designed to predict blood cholesterol levels from amount of daily saturated fat in grams (X1) and number of hours of daily exercise (X2), the slope of X1 is 5, the slope of X2 is -4, and the y intercept is 130.Which formula is the regression equation for these data?

Accepted Answer

A)  Ŷ = 130 + 5(X1) - 4(X2) 
B)  Ŷ = 130 - 4(X1) - 5(X2) 
C)  Ŷ = 130 + 5(X1) + 4(X2) 
D)  Ŷ = 130 + 1(X) 
A)  Ŷ = 130 + 5(X1) - 4(X2) 
B)  Ŷ = 130 - 4(X1) - 5(X2) 
C)  Ŷ = 130 + 5(X1) + 4(X2) 
D)  Ŷ = 130 + 1(X)

Question 11

If a person's score on a(n) _____ variable is known, the person's score on the _____ variable can be predicted using simple linear regression.

Accepted Answer

A)  dependent; independent 
B)  independent; dependent 
C)  scale; nominal 
D)  nominal; z score 
A)  dependent; independent 
B)  independent; dependent 
C)  scale; nominal 
D)  nominal; z score

Question 12

Manifest variables are what we want to research but cannot directly measure.

Accepted Answer

A) True 
 B)False

Question 13

To predict a single dependent variable from more than one independent variable, which statistical technique should be used?

Accepted Answer

A)  multiple regression 
B)  structural equation modeling 
C)  simple linear regression 
D)  correlation 
A)  multiple regression 
B)  structural equation modeling 
C)  simple linear regression 
D)  correlation

Question 14

Regression is typically used when analyzing the results of an experiment.

Accepted Answer

A) True 
 B)False

Question 15

Which statistical tool allows one to predict a dependent score based on information about an independent variable?

Accepted Answer

A)  t test 
B)  correlation 
C)  regression 
D)  standardization 
A)  t test 
B)  correlation 
C)  regression 
D)  standardization

Question 16

In the formula Ŷ = a + b(X), b is the:

Accepted Answer

A)  slope. 
B)  intercept. 
C)  predicted value for the dependent variable. 
D)  observed value on the independent variable. 
A)  slope. 
B)  intercept. 
C)  predicted value for the dependent variable. 
D)  observed value on the independent variable.

Question 17

The standard error of estimate could be thought of as the:

Accepted Answer

A)  standard deviation of the data points around the regression line. 
B)  standard deviation of the independent variable on the regression line. 
C)  standard deviation of the dependent variable. 
D)  amount of error made in random selection. 
A)  standard deviation of the data points around the regression line. 
B)  standard deviation of the independent variable on the regression line. 
C)  standard deviation of the dependent variable. 
D)  amount of error made in random selection.

Question 18

A man and woman who are both tall (he is 6 feet tall and she is 5 feet, 10 inches) have four children; which child represents regression to the mean for height?

Accepted Answer

A)  Janet who is 5 feet tall 
B)  Amy who is 5 feet, 1 inch tall 
C)  Laura who is 5 feet, 5 inches tall 
D)  John who is 6 feet, 2 inches tall 
A)  Janet who is 5 feet tall 
B)  Amy who is 5 feet, 1 inch tall 
C)  Laura who is 5 feet, 5 inches tall 
D)  John who is 6 feet, 2 inches tall

Question 19

Which sentence does NOT state a limitation of using regression?

Accepted Answer

A)  The presence of confounding variables may limit confidence in the findings. 
B)  The data used are rarely from a true experiment. 
C)  Regression is only appropriate with linear data. 
D)  Regression allows one to determine an equation for a straight line. 
A)  The presence of confounding variables may limit confidence in the findings. 
B)  The data used are rarely from a true experiment. 
C)  Regression is only appropriate with linear data. 
D)  Regression allows one to determine an equation for a straight line.

Question 20

The intercept is the amount that Y is predicted to increase for an increase of 1 in X.

Accepted Answer

A) True 
 B)False

Correlation coefficient and proportionate reduction in error are inversely related; that is, as the correlation coefficient increases, proportion reduction in error decreases.

Unlike correlation, regression can prove causal direction of a relation between two variables.

An independent variable that makes a unique contribution to the prediction of a dependent variable is a(n) _____ variable.

A latent variable is:

If shyness is negatively correlated with the number of friendships a person has, which statement regarding the line of best fit, or regression line, would be true?

If the correlation between the number of beers consumed over a semester and the GPA for the semester is -0.56, what would be the predicted z score for a person who has a z score of -0.95 for the number of beers consumed?

If someone reports that she typically eats 15 grams of saturated fat daily and exercises 1 hour daily, what would her cholesterol level be predicted to be?

For the equation Ŷ = 130 + 5(X₁) + 3(X₂), which statement is true?

In a study designed to predict blood cholesterol levels from amount of daily saturated fat in grams (X₁) and number of hours of daily exercise (X₂), the slope of X₁ is 5, the slope of X₂ is -4, and the y intercept is 130.Which formula is the regression equation for these data?

If a person's score on a(n) _ variable is known, the person's score on the _ variable can be predicted using simple linear regression.

Manifest variables are what we want to research but cannot directly measure.

To predict a single dependent variable from more than one independent variable, which statistical technique should be used?

Regression is typically used when analyzing the results of an experiment.

Which statistical tool allows one to predict a dependent score based on information about an independent variable?

In the formula Ŷ = a + b(X), b is the:

The standard error of estimate could be thought of as the:

A man and woman who are both tall (he is 6 feet tall and she is 5 feet, 10 inches) have four children; which child represents regression to the mean for height?

Which sentence does NOT state a limitation of using regression?

The intercept is the amount that Y is predicted to increase for an increase of 1 in X.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 16: Regression

Correlation coefficient and proportionate reduction in error are inversely related; that is, as the correlation coefficient increases, proportion reduction in error decreases.

Unlike correlation, regression can prove causal direction of a relation between two variables.

An independent variable that makes a unique contribution to the prediction of a dependent variable is a(n) _____ variable.

A latent variable is:

If shyness is negatively correlated with the number of friendships a person has, which statement regarding the line of best fit, or regression line, would be true?

If the correlation between the number of beers consumed over a semester and the GPA for the semester is -0.56, what would be the predicted z score for a person who has a z score of -0.95 for the number of beers consumed?

If someone reports that she typically eats 15 grams of saturated fat daily and exercises 1 hour daily, what would her cholesterol level be predicted to be?

For the equation Ŷ = 130 + 5(X1) + 3(X2), which statement is true?

In a study designed to predict blood cholesterol levels from amount of daily saturated fat in grams (X1) and number of hours of daily exercise (X2), the slope of X1 is 5, the slope of X2 is -4, and the y intercept is 130.Which formula is the regression equation for these data?

If a person's score on a(n) _____ variable is known, the person's score on the _____ variable can be predicted using simple linear regression.

Manifest variables are what we want to research but cannot directly measure.

To predict a single dependent variable from more than one independent variable, which statistical technique should be used?

Regression is typically used when analyzing the results of an experiment.

Which statistical tool allows one to predict a dependent score based on information about an independent variable?

In the formula Ŷ = a + b(X), b is the:

The standard error of estimate could be thought of as the:

A man and woman who are both tall (he is 6 feet tall and she is 5 feet, 10 inches) have four children; which child represents regression to the mean for height?

Which sentence does NOT state a limitation of using regression?

The intercept is the amount that Y is predicted to increase for an increase of 1 in X.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Chi-Square Tess

Choosing and Reporting Statistics

Filters

For the equation Ŷ = 130 + 5(X₁) + 3(X₂), which statement is true?

In a study designed to predict blood cholesterol levels from amount of daily saturated fat in grams (X₁) and number of hours of daily exercise (X₂), the slope of X₁ is 5, the slope of X₂ is -4, and the y intercept is 130.Which formula is the regression equation for these data?

If a person's score on a(n) _ variable is known, the person's score on the _ variable can be predicted using simple linear regression.