The Pearson correlation between X1 and Y is r = 0.70.When a second variable, X2, is added to the regression equation, we obtain R2 = 0.64.How much variance for the Y scores is predicted by using only X1 as a predictor variable?

A) 0.06 or 6% B) 0.15 or 15% C) 0.49 or 49% D) 0.70 or 70% A) 0.06 or 6% B) 0.15 or 15% C) 0.49 or 49% D) 0.70 or 70%

Exam 16: Introduction to Regression

The Pearson correlation between X₁ and Y is r = 0.50.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.60.Adding the second variable increased the predicted variance for the Y scores by 36% - 25% = 11%.

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Question 1

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The proportion of SS_Y that is not predicted by the regression equation is equal to r².

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Question 2

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For the regression equation, Ŷ = -2X + 6, if the X value is above the mean (positive deviation), then what can be determined about the predicted Y value?

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(Multiple Choice)

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Question 3

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A multiple regression equation with two predictor variables is computed for a sample of n = 35 participants.The standard error of estimate for the equation would have df = 33.

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Question 4

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

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Question 5

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 18.How many individuals were needed to produce the sample data used to find the regression equation?

(Multiple Choice)

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Question 6

For the linear equation Y = 2X + 4, if X increases by 1 point, how much will Y increase?

(Multiple Choice)

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Question 7

The Pearson correlation between X₁ and Y is r = 0.50 and the correlation between X₂ and Y is r = 0.20.How much variance for the Y scores is predicted by using both X₁ and X₂ as predictor variables in a multiple regression equation?

(Multiple Choice)

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Question 8

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 the relationship with X?

(Multiple Choice)

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Question 9

The Pearson correlation between X₁ and Y is r = 0.70.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.64.How much variance for the Y scores is predicted by using only X₁ as a predictor variable?

(Multiple Choice)

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Question 10

One use of regression equation is to increase the accuracy of predicting Y scores.How much of the variability in the Y scores is predictable from the regression equation?

(Multiple Choice)

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Question 11

For either linear regression or multiple regression, the standard error of estimate can be computed as

(Multiple Choice)

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Question 12

For the regression equation Y = X - 2, if the mean for Y is M_Y = 6, what is the mean for X?

(Multiple Choice)

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Question 13

In the general linear equation, Y = bX + a, what is the value of b called?

(Multiple Choice)

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Question 14

If other factors are held constant, a larger numerical value for the Pearson correlation will result in a smaller standard error of estimate.

(True/False)

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Question 15

The line defined by the Y = -3X + 6 slopes up to the right.

(True/False)

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Question 16

A set of X and Y scores has M_X = 4, M_Y = 10, SS_X = 10, and SP = 5.The regression equation for these scores is Y = 0.5X - 8.

(True/False)

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Question 17

.The multiple regression with two predictor variables is computed for a sample of n = 25 participants.what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

(Multiple Choice)

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Question 18

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 24.How many individuals were needed to produce the sample data used to find the regression equation?

(Multiple Choice)

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Question 19

For linear regression, if X = M_X, then the predicted Y value is M_Y.

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Question 20

Showing 1 - 20 of 70

The Pearson correlation between X₁ and Y is r = 0.50.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.60.Adding the second variable increased the predicted variance for the Y scores by 36% - 25% = 11%.

The proportion of SS_Y that is not predicted by the regression equation is equal to r².

For the regression equation, Ŷ = -2X + 6, if the X value is above the mean (positive deviation), then what can be determined about the predicted Y value?

A multiple regression equation with two predictor variables is computed for a sample of n = 35 participants.The standard error of estimate for the equation would have df = 33.

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 18.How many individuals were needed to produce the sample data used to find the regression equation?

For the linear equation Y = 2X + 4, if X increases by 1 point, how much will Y increase?

The Pearson correlation between X₁ and Y is r = 0.50 and the correlation between X₂ and Y is r = 0.20.How much variance for the Y scores is predicted by using both X₁ and X₂ as predictor variables in a multiple regression equation?

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 the relationship with X?

The Pearson correlation between X₁ and Y is r = 0.70.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.64.How much variance for the Y scores is predicted by using only X₁ as a predictor variable?

One use of regression equation is to increase the accuracy of predicting Y scores.How much of the variability in the Y scores is predictable from the regression equation?

For either linear regression or multiple regression, the standard error of estimate can be computed as

For the regression equation Y = X - 2, if the mean for Y is M_Y = 6, what is the mean for X?

In the general linear equation, Y = bX + a, what is the value of b called?

If other factors are held constant, a larger numerical value for the Pearson correlation will result in a smaller standard error of estimate.

The line defined by the Y = -3X + 6 slopes up to the right.

A set of X and Y scores has M_X = 4, M_Y = 10, SS_X = 10, and SP = 5.The regression equation for these scores is Y = 0.5X - 8.

.The multiple regression with two predictor variables is computed for a sample of n = 25 participants.what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 24.How many individuals were needed to produce the sample data used to find the regression equation?

For linear regression, if X = M_X, then the predicted Y value is M_Y.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

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 Anova

Two-Factor Analysis of Variance

Correlation

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 16: Introduction to Regression

The Pearson correlation between X1 and Y is r = 0.50.When a second variable, X2, is added to the regression equation, we obtain R2 = 0.60.Adding the second variable increased the predicted variance for the Y scores by 36% - 25% = 11%.

The proportion of SSY that is not predicted by the regression equation is equal to r2.

For the regression equation, Ŷ = -2X + 6, if the X value is above the mean (positive deviation), then what can be determined about the predicted Y value?

A multiple regression equation with two predictor variables is computed for a sample of n = 35 participants.The standard error of estimate for the equation would have df = 33.

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MSregression?

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 18.How many individuals were needed to produce the sample data used to find the regression equation?

For the linear equation Y = 2X + 4, if X increases by 1 point, how much will Y increase?

The Pearson correlation between X1 and Y is r = 0.50 and the correlation between X2 and Y is r = 0.20.How much variance for the Y scores is predicted by using both X1 and X2 as predictor variables in a multiple regression equation?

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 the relationship with X?

The Pearson correlation between X1 and Y is r = 0.70.When a second variable, X2, is added to the regression equation, we obtain R2 = 0.64.How much variance for the Y scores is predicted by using only X1 as a predictor variable?

One use of regression equation is to increase the accuracy of predicting Y scores.How much of the variability in the Y scores is predictable from the regression equation?

For either linear regression or multiple regression, the standard error of estimate can be computed as

For the regression equation Y = X - 2, if the mean for Y is MY = 6, what is the mean for X?

In the general linear equation, Y = bX + a, what is the value of b called?

If other factors are held constant, a larger numerical value for the Pearson correlation will result in a smaller standard error of estimate.

The line defined by the Y = -3X + 6 slopes up to the right.

A set of X and Y scores has MX = 4, MY = 10, SSX = 10, and SP = 5.The regression equation for these scores is Y = 0.5X - 8.

.The multiple regression with two predictor variables is computed for a sample of n = 25 participants.what is the value for degrees of freedom for the predicted portion of the Y-score variance, MSregression?

A researcher who is evaluating the significance of a multiple regression equation with two predictor variables, obtains an F-ratio with df = 2, 24.How many individuals were needed to produce the sample data used to find the regression equation?

For linear regression, if X = MX, then the predicted Y value is MY.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

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 Anova

Two-Factor Analysis of Variance

Correlation

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

The Pearson correlation between X₁ and Y is r = 0.50.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.60.Adding the second variable increased the predicted variance for the Y scores by 36% - 25% = 11%.

The proportion of SS_Y that is not predicted by the regression equation is equal to r².

For linear regression calculated for a sample of n = 20 pairs of X and Y values, what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

The Pearson correlation between X₁ and Y is r = 0.50 and the correlation between X₂ and Y is r = 0.20.How much variance for the Y scores is predicted by using both X₁ and X₂ as predictor variables in a multiple regression equation?

The Pearson correlation between X₁ and Y is r = 0.70.When a second variable, X₂, is added to the regression equation, we obtain R² = 0.64.How much variance for the Y scores is predicted by using only X₁ as a predictor variable?

For the regression equation Y = X - 2, if the mean for Y is M_Y = 6, what is the mean for X?

A set of X and Y scores has M_X = 4, M_Y = 10, SS_X = 10, and SP = 5.The regression equation for these scores is Y = 0.5X - 8.

.The multiple regression with two predictor variables is computed for a sample of n = 25 participants.what is the value for degrees of freedom for the predicted portion of the Y-score variance, MS_regression?

For linear regression, if X = M_X, then the predicted Y value is M_Y.