Exam 14: Introduction to Linear Regression and Correlation Analysis

When the intercept in a regression equation is deemed not significantly different from 0,then in making predictions for y,0.0 should be used as the value of the intercept rather than the estimated intercept value.

(True/False)

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Question 81

Which of the following is NOT an assumption for the simple linear regression model?

(Multiple Choice)

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Question 82

When regression analysis is used for descriptive purposes,two of the main items of interest are whether the sign on the regression slope coefficient is positive or negative and whether the regression slope coefficient is significantly different from zero.

(True/False)

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Question 83

When a correlation is found between a pair of variables,this always means that there is a direct cause and effect relationship between the variables.

(True/False)

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Question 84

The following regression output was generated based on a sample of utility customers.The dependent variable was the dollar amount of the monthly bill and the independent variable was the size of the house in square feet. Based on this regression output,what is the 95 percent confidence interval estimate for the population regression slope coefficient?

(Multiple Choice)

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Question 85

Consider the following partially completed computer printout for a regression analysis where the dependent variable is the price of a personal computer and the independent variable is the size of the hard drive. Based on the information provided,which of the following statements is true if alpha = .05?

(Multiple Choice)

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Question 86

A study was recently performed by the Internal Revenue Service to determine how much tip income waiters and waitresses should make based on the size of the bill at each table.A random sample of bills and resulting tips were collected.These data are shown as follows: Based upon these data,what is the approximate predicted value for tips if the total bill is $100?

(Multiple Choice)

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Question 87

Which of the following is a correct interpretation for the regression slope coefficient?

(Multiple Choice)

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Question 88

Given the data below,one ran the simple regression analysis of Y on X. The relationship between Y and X is

(Multiple Choice)

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Question 89

In a study of 30 customers' utility bills in which the monthly bill was the dependent variable and the number of square feet in the house is the independent variable,the resulting regression model is = 23.40 + 0.04x.Given this model,for a customer with a 2,000 square foot house and a monthly utility bill equal to $100.00,the residual from the regression model is approximately -$3.40.

(True/False)

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Question 90

A high coefficient of determination (R²)implies that the regression model will be a good predictor for future values of the dependent variable given the value of the independent variable.

(True/False)

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Question 91

Recently,an automobile insurance company performed a study of a random sample of 15 of its customers to determine if there is a positive relationship between the number of miles driven and the age of the driver.The sample correlation coefficient is r = .38.Given this information,which of the following is appropriate critical value for testing the null hypothesis at an alpha = .05 level?

(Multiple Choice)

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Question 92

If two variables are related in a positive linear manner,the scatter plot will show points on the x,y space that are generally moving from the lower left to the upper right.

(True/False)

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Question 93

A correlation coefficient computed from a sample of data values selected from a population is called a statistic and is subject to sampling error.

(True/False)

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Question 94

If a residual plot exhibits a curved pattern in the residuals,this means that:

(Multiple Choice)

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Question 95

The sign on the intercept coefficient in a simple regression model will always be the same as the sign on the correlation coefficient.

(True/False)

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Question 96

When the correlation coefficient for the two variables was -0.23,it implies that the two variables are not correlated because the correlation coefficient cannot be negative.

(True/False)

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Question 97

Explain why it is important to construct scatter plots prior to conducting regression analysis.

(Essay)

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Question 98

Which of the following statements is true with respect to a simple linear regression model?

(Multiple Choice)

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Question 99

What factors are of importance to an analyst when linear regression analysis is used for descriptive purposes?

(Essay)

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Question 100

Showing 81 - 100 of 139

When the intercept in a regression equation is deemed not significantly different from 0,then in making predictions for y,0.0 should be used as the value of the intercept rather than the estimated intercept value.

Which of the following is NOT an assumption for the simple linear regression model?

When regression analysis is used for descriptive purposes,two of the main items of interest are whether the sign on the regression slope coefficient is positive or negative and whether the regression slope coefficient is significantly different from zero.

When a correlation is found between a pair of variables,this always means that there is a direct cause and effect relationship between the variables.

Which of the following is a correct interpretation for the regression slope coefficient?

Given the data below,one ran the simple regression analysis of Y on X. The relationship between Y and X is

A high coefficient of determination (R²)implies that the regression model will be a good predictor for future values of the dependent variable given the value of the independent variable.

If two variables are related in a positive linear manner,the scatter plot will show points on the x,y space that are generally moving from the lower left to the upper right.

A correlation coefficient computed from a sample of data values selected from a population is called a statistic and is subject to sampling error.

If a residual plot exhibits a curved pattern in the residuals,this means that:

The sign on the intercept coefficient in a simple regression model will always be the same as the sign on the correlation coefficient.

When the correlation coefficient for the two variables was -0.23,it implies that the two variables are not correlated because the correlation coefficient cannot be negative.

Explain why it is important to construct scatter plots prior to conducting regression analysis.

Which of the following statements is true with respect to a simple linear regression model?

What factors are of importance to an analyst when linear regression analysis is used for descriptive purposes?

The Where,Why,and How of Data Collection

Graphs,Charts and Tablesdescribing Your Data

Describing Data Using Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Introduction to Continuous Probability Distributions

Introduction to Sampling Distributions

Estimating Single Population Parameters

Introduction to Hypothesis Testing

Estimation and Hypothesis Testing for Two Population Parameters

Hypothesis Tests and Estimation for Population Variances

Analysis of Variance

Goodness-Of-Fit Tests and Contingency Analysis

Multiple Regression Analysis and Model Building

Analyzing and Forecasting Time-Series Data

Introduction to Nonparametric Statistics

Introduction to Quality and Statistical Process Control

Filters

Exam 14: Introduction to Linear Regression and Correlation Analysis

When the intercept in a regression equation is deemed not significantly different from 0,then in making predictions for y,0.0 should be used as the value of the intercept rather than the estimated intercept value.

Which of the following is NOT an assumption for the simple linear regression model?

When regression analysis is used for descriptive purposes,two of the main items of interest are whether the sign on the regression slope coefficient is positive or negative and whether the regression slope coefficient is significantly different from zero.

When a correlation is found between a pair of variables,this always means that there is a direct cause and effect relationship between the variables.

Which of the following is a correct interpretation for the regression slope coefficient?

Given the data below,one ran the simple regression analysis of Y on X. The relationship between Y and X is

A high coefficient of determination (R2)implies that the regression model will be a good predictor for future values of the dependent variable given the value of the independent variable.

If two variables are related in a positive linear manner,the scatter plot will show points on the x,y space that are generally moving from the lower left to the upper right.

A correlation coefficient computed from a sample of data values selected from a population is called a statistic and is subject to sampling error.

If a residual plot exhibits a curved pattern in the residuals,this means that:

The sign on the intercept coefficient in a simple regression model will always be the same as the sign on the correlation coefficient.

When the correlation coefficient for the two variables was -0.23,it implies that the two variables are not correlated because the correlation coefficient cannot be negative.

Explain why it is important to construct scatter plots prior to conducting regression analysis.

Which of the following statements is true with respect to a simple linear regression model?

What factors are of importance to an analyst when linear regression analysis is used for descriptive purposes?

The Where,Why,and How of Data Collection

Graphs,Charts and Tablesdescribing Your Data

Describing Data Using Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Introduction to Continuous Probability Distributions

Introduction to Sampling Distributions

Estimating Single Population Parameters

Introduction to Hypothesis Testing

Estimation and Hypothesis Testing for Two Population Parameters

Hypothesis Tests and Estimation for Population Variances

Analysis of Variance

Goodness-Of-Fit Tests and Contingency Analysis

Multiple Regression Analysis and Model Building

Analyzing and Forecasting Time-Series Data

Introduction to Nonparametric Statistics

Introduction to Quality and Statistical Process Control

Filters

A high coefficient of determination (R²)implies that the regression model will be a good predictor for future values of the dependent variable given the value of the independent variable.