Question 1

For a two-tailed hypothesis test evaluating a Pearson correlation,what is stated by the null hypothesis?

Accepted Answer

A) There is a non-zero correlation for the general population. 
B) The population correlation is zero. 
C) There is a non-zero correlation for the sample. 
D) The sample correlation is zero. 
A) There is a non-zero correlation for the general population. 
B) The population correlation is zero. 
C) There is a non-zero correlation for the sample. 
D) The sample correlation is zero.

Question 2

Assuming that SSy is constant,which of the following correlations would have the largest SSresidual?

Accepted Answer

A) r = -0.10 
B) r = +0.40 
C) r = -0.70 
D) There is no relationship between the correlation and $S S _ { \text {residual } }$ . 
A) r = -0.10 
B) r = +0.40 
C) r = -0.70 
D) There is no relationship between the correlation and $S S _ { \text {residual } }$ .

Question 3

A set of X and Y scores has MX = 4,SSₓ = 10,MY = 5,SSʏ = 40,and SP = 20.What is the regression equation for predicting Y from X?

Accepted Answer

A) Ŷ = 0.25X + 4 
B) Ŷ = 4X - 9 
C) Ŷ = 0.5X + 3 
D) Ŷ = 2X - 3 
A) Ŷ = 0.25X + 4 
B) Ŷ = 4X - 9 
C) Ŷ = 0.5X + 3 
D) Ŷ = 2X - 3

Question 4

A set of n = 25 pairs of scores (X and Y values)has a Pearson correlation of r = 0.80.How much of the variance for the Y scores is predicted by its relationship with X?

Accepted Answer

A) 0.36 or 36% 
B) 0.20 or 20% 
C) 0.80 or 80% 
D) 0.64 or 64% 
A) 0.36 or 36% 
B) 0.20 or 20% 
C) 0.80 or 80% 
D) 0.64 or 64%

Question 5

The distance between the Y value in the data and the predicted Y value from the regression equation is known as the residual.What is the value for the sum of the squared residuals?

Accepted Answer

A)  $S S _ { \text {residual } }$ = r²(SS?) 
B)  $S S _ { \text {residual } }$ = (1 - r²)(SS?) 
C)  $S S _ { \text {residual } }$ = r²(SS?) 
D)  $S S _ { \text {residual } }$ = (1 - r²)(SS?) 
A)  $S S _ { \text {residual } }$ = r²(SS?) 
B)  $S S _ { \text {residual } }$ = (1 - r²)(SS?) 
C)  $S S _ { \text {residual } }$ = r²(SS?) 
D)  $S S _ { \text {residual } }$ = (1 - r²)(SS?)

For a two-tailed hypothesis test evaluating a Pearson correlation,what is stated by the null hypothesis?

Assuming that SS_y is constant,which of the following correlations would have the largest SS_residual?

A set of X and Y scores has MX = 4,SSₓ = 10,MY = 5,SSʏ = 40,and SP = 20.What is the regression equation for predicting Y from X?

A set of n = 25 pairs of scores (X and Y values)has a Pearson correlation of r = 0.80.How much of the variance for the Y scores is predicted by its relationship with X?

The distance between the Y value in the data and the predicted Y value from the regression equation is known as the residual.What is the value for the sum of the squared residuals?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: The Distribution of Sample Means.

Introduction to Hypothesis Testing.

Introduction to the t Statistic

The t Test for Two Independent Samples

The t Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Analysis of Variance

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters

Exam 14: Correlation and Regression.

For a two-tailed hypothesis test evaluating a Pearson correlation,what is stated by the null hypothesis?

Assuming that SSy is constant,which of the following correlations would have the largest SSresidual?

A set of X and Y scores has MX = 4,SSₓ = 10,MY = 5,SSʏ = 40,and SP = 20.What is the regression equation for predicting Y from X?

A set of n = 25 pairs of scores (X and Y values)has a Pearson correlation of r = 0.80.How much of the variance for the Y scores is predicted by its relationship with X?

The distance between the Y value in the data and the predicted Y value from the regression equation is known as the residual.What is the value for the sum of the squared residuals?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: The Distribution of Sample Means.

Introduction to Hypothesis Testing.

Introduction to the t Statistic

The t Test for Two Independent Samples

The t Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Analysis of Variance

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters

Assuming that SS_y is constant,which of the following correlations would have the largest SS_residual?