Exam 14: Simple Linear Regression Analysis

A very insignificant independent variable (an independent variable that has a very weak relationship with the dependent variable)is added to a multiple regression equation.As a result of this change,the value of the explained variation (SSR)will _____,the value of the multiple coefficient of determination ( )will _,and the calculated value of the F statistic will most likely _____.

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(Multiple Choice)

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Question 1

Correct Answer:

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The natural logarithm of the odds is called the logit.

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(True/False)

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Question 2

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True

In multiple regression analysis,which one of the following is the appropriate notation for error (residual)?

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Question 3

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As we increase the number of independent variables in a multiple regression model,the F statistic will __________ increase.

(Multiple Choice)

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Question 4

In multiple regression analysis,the explained sum of squares divided by the total sum of squares yields the __________.

(Multiple Choice)

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Question 5

The critical value for Dfbetas statistics is 1.

(True/False)

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Question 6

Which of the following is not an assumption of the multiple linear regression model?

(Multiple Choice)

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Question 7

A partial F test is used to assess when at least one variable in a subset of squared and interaction variables in the multiple regression model is significant.

(True/False)

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Question 8

In a multiple regression model,we can conclude that multicollinearity exists if the average variance inflation factor is substantially greater than _____.

(Multiple Choice)

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Question 9

When using a multiple regression model,we assume that error terms (residuals)are distributed according to a(n)________________ distribution.

(Multiple Choice)

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Question 10

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

(Multiple Choice)

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Question 11

An application of the multiple regression model generated the following results involving the F test of the overall regression model:p-value= .0012,R² = .67,and s = .076.Thus,the null hypothesis,which states that none of the independent variables are significantly related to the dependent variable,should be rejected at the .05 level of significance.

(True/False)

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Question 12

If the simple correlation coefficient between two independent variables is greater than .90,then ______________________ is considered to be severe.

(Multiple Choice)

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Question 13

In using a regression model,if a new independent variable is added,the value of (the coefficient of multiple determination)will ___________ decrease.

(Multiple Choice)

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Question 14

Leverage value is a statistic used to determine an outlier.

(True/False)

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Question 15

If a regression model with k independent variables has a C statistic less than _______,then the model is considered to be desirable.

(Multiple Choice)

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Question 16

The y-intercept (β₀)in a multiple regression model represents the estimated value of the __ variable,when the value of all independent variables are _.

(Multiple Choice)

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Question 17

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

(Multiple Choice)

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Question 18

Dfbetas and Dffits are statistics used to determine an outlier.

(True/False)

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Question 19

Which of the following residual plots is not used in regression analysis?

(Multiple Choice)

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Question 20

Showing 1 - 20 of 95

The natural logarithm of the odds is called the logit.

In multiple regression analysis,which one of the following is the appropriate notation for error (residual)?

As we increase the number of independent variables in a multiple regression model,the F statistic will __________ increase.

In multiple regression analysis,the explained sum of squares divided by the total sum of squares yields the __________.

The critical value for Dfbetas statistics is 1.

Which of the following is not an assumption of the multiple linear regression model?

A partial F test is used to assess when at least one variable in a subset of squared and interaction variables in the multiple regression model is significant.

In a multiple regression model,we can conclude that multicollinearity exists if the average variance inflation factor is substantially greater than _____.

When using a multiple regression model,we assume that error terms (residuals)are distributed according to a(n)________________ distribution.

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

If the simple correlation coefficient between two independent variables is greater than .90,then ______________________ is considered to be severe.

In using a regression model,if a new independent variable is added,the value of (the coefficient of multiple determination)will ___________ decrease.

Leverage value is a statistic used to determine an outlier.

If a regression model with k independent variables has a C statistic less than _______,then the model is considered to be desirable.

The y-intercept (β₀)in a multiple regression model represents the estimated value of the __ variable,when the value of all independent variables are _.

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

Dfbetas and Dffits are statistics used to determine an outlier.

Which of the following residual plots is not used in regression analysis?

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

Exam 14: Simple Linear Regression Analysis

The natural logarithm of the odds is called the logit.

In multiple regression analysis,which one of the following is the appropriate notation for error (residual)?

As we increase the number of independent variables in a multiple regression model,the F statistic will __________ increase.

In multiple regression analysis,the explained sum of squares divided by the total sum of squares yields the __________.

The critical value for Dfbetas statistics is 1.

Which of the following is not an assumption of the multiple linear regression model?

A partial F test is used to assess when at least one variable in a subset of squared and interaction variables in the multiple regression model is significant.

In a multiple regression model,we can conclude that multicollinearity exists if the average variance inflation factor is substantially greater than _____.

When using a multiple regression model,we assume that error terms (residuals)are distributed according to a(n)________________ distribution.

In a multiple regression analysis,if the normal probability plot ____________,then it can be concluded that the assumption of normality is not violated.

If the simple correlation coefficient between two independent variables is greater than .90,then ______________________ is considered to be severe.

In using a regression model,if a new independent variable is added,the value of (the coefficient of multiple determination)will ___________ decrease.

Leverage value is a statistic used to determine an outlier.

If a regression model with k independent variables has a C statistic less than _______,then the model is considered to be desirable.

The y-intercept (β0)in a multiple regression model represents the estimated value of the __________ variable,when the value of all independent variables are _________.

Plotting the residuals in a time-ordered sequence will reveal possible violations of the __________ of error terms assumption.

Dfbetas and Dffits are statistics used to determine an outlier.

Which of the following residual plots is not used in regression analysis?

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences for Means and Proportions

Statistical Inferences for Population Variances

Experimental Design and Analysis of Variance

Chi-Square Tests

Multiple Regression and Model Building

Time Series Forecasting and Index Numbers

Nonparametric Methods

Decision Theory

Filters

The y-intercept (β₀)in a multiple regression model represents the estimated value of the __ variable,when the value of all independent variables are _.