In a regression analysis if SST = 200 and SSR = 200,r 2 = _________.

A) 0.25 B) 0.75 C) 0.00 D) 1.00 E) -1.00 A) 0.25 B) 0.75 C) 0.00 D) 1.00 E) -1.00

Exam 12: Simple Regression Analysis and Correlation

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

(True/False)

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Question 81

Annie Mikhail,market analyst for a national company specializing in historic city tours,is analyzing the relationship between the sales revenue from historic city tours and the size of the city.She gathers data from six cities in which the tours are offered.Annie's dependent variable is annual sales revenues and her independent variable is the city population.Regression analysis of the data yielded the following tables. Annie's sample size is __________.

(Multiple Choice)

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Question 82

In the regression equation,y = 2.164 + 1.3657x,n = 6,the mean of x is 8.667,S_xx= 89.333 and S_e= 3.44.A 95% confidence interval for the average of y when x=8 is _________

(Multiple Choice)

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Question 83

The equation of the trend line for the data based on sales (in $1000)of a local restaurant over the years 2005-2010 is Sales= -265575+132.571 year.The equation of the trend line when using 1 to 6 for 2005-2010 is ________

(Multiple Choice)

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Question 84

Regression methods can be pursued to estimate trends that are linear in time.

(True/False)

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Question 85

In a regression analysis if SST = 200 and SSR = 200,r ² = _________.

(Multiple Choice)

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Question 86

.Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables. Louis's regression model is ________________.

(Multiple Choice)

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Question 87

For the regression line,y = 21 − 5x,21 is the y-intercept of the line.

(True/False)

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Question 88

Regression output from Excel software directly shows the regression equation.

(True/False)

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Question 89

For the following scatter plot and regression line,at x = 35 the residual is _______.

(Multiple Choice)

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Question 90

Regression output from Excel software includes an ANOVA table.

(True/False)

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Question 91

In regression,the variable that is being predicted is usually referred to as the independent variable.

(True/False)

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Question 92

The variability in the estimated slope is smaller when the x-values are more spread out.

(True/False)

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Question 93

Correlation is a measure of the degree of linear relationship between two variables.

(True/False)

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Question 94

The range of admissible values for the coefficient of determination is −1 to +1.

(True/False)

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Question 95

In regression analysis,R-squared is also called the _______.

(Multiple Choice)

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Question 96

For a certain data set the regression equation is y = 37 + 13x.The correlation coefficient between y and x in this data set _______.

(Multiple Choice)

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Question 97

Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables. $Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables. Using \alpha = 0.05,Louis should .$ $Louis Katz,a cost accountant at Papalote Plastics,Inc.(PPI),is analyzing the manufacturing costs of a molded plastic telephone handset produced by PPI.Louis's independent variable is production lot size (in 1,000's of units),and his dependent variable is the total cost of the lot (in $100's).Regression analysis of the data yielded the following tables. Using \alpha = 0.05,Louis should .$ Using $\alpha$ = 0.05,Louis should .

(Multiple Choice)

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Question 98

Showing 81 - 98 of 98

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

In the regression equation,y = 2.164 + 1.3657x,n = 6,the mean of x is 8.667,S_xx= 89.333 and S_e= 3.44.A 95% confidence interval for the average of y when x=8 is _________

The equation of the trend line for the data based on sales (in $1000)of a local restaurant over the years 2005-2010 is Sales= -265575+132.571 year.The equation of the trend line when using 1 to 6 for 2005-2010 is ________

Regression methods can be pursued to estimate trends that are linear in time.

In a regression analysis if SST = 200 and SSR = 200,r ² = _________.

For the regression line,y = 21 − 5x,21 is the y-intercept of the line.

Regression output from Excel software directly shows the regression equation.

For the following scatter plot and regression line,at x = 35 the residual is _______.

Regression output from Excel software includes an ANOVA table.

In regression,the variable that is being predicted is usually referred to as the independent variable.

The variability in the estimated slope is smaller when the x-values are more spread out.

Correlation is a measure of the degree of linear relationship between two variables.

The range of admissible values for the coefficient of determination is −1 to +1.

In regression analysis,R-squared is also called the _______.

For a certain data set the regression equation is y = 37 + 13x.The correlation coefficient between y and x in this data set _______.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

Exam 12: Simple Regression Analysis and Correlation

The proportion of variability of the dependent variable (y)accounted for or explained by the independent variable (x)is called the coefficient of correlation.

In the regression equation,y = 2.164 + 1.3657x,n = 6,the mean of x is 8.667,Sxx= 89.333 and Se= 3.44.A 95% confidence interval for the average of y when x=8 is _________

The equation of the trend line for the data based on sales (in $1000)of a local restaurant over the years 2005-2010 is Sales= -265575+132.571 year.The equation of the trend line when using 1 to 6 for 2005-2010 is ________

Regression methods can be pursued to estimate trends that are linear in time.

In a regression analysis if SST = 200 and SSR = 200,r 2 = _________.

For the regression line,y = 21 − 5x,21 is the y-intercept of the line.

Regression output from Excel software directly shows the regression equation.

For the following scatter plot and regression line,at x = 35 the residual is _______.

Regression output from Excel software includes an ANOVA table.

In regression,the variable that is being predicted is usually referred to as the independent variable.

The variability in the estimated slope is smaller when the x-values are more spread out.

Correlation is a measure of the degree of linear relationship between two variables.

The range of admissible values for the coefficient of determination is −1 to +1.

In regression analysis,R-squared is also called the _______.

For a certain data set the regression equation is y = 37 + 13x.The correlation coefficient between y and x in this data set _______.

Introduction to Statistics

Charts and Graphs

Descriptive Statistics

Probability

Discrete Distributions

Continuous Distributions

Sampling and Sampling Distributions

Statistical Inference: Estimation for Single Populations

Statistical Inference: Hypothesis Testing for Single Populations

Statistical Inferences About Two Populations

Analysis of Variance and Design of Experiments

Multiple Regression Analysis

Building Multiple Regression Models

Time-Series Forecasting and Index Numbers

Analysis of Categorical Data

Nonparametric Statistics

Statistical Quality Control

Decision Analysis

Filters

In the regression equation,y = 2.164 + 1.3657x,n = 6,the mean of x is 8.667,S_xx= 89.333 and S_e= 3.44.A 95% confidence interval for the average of y when x=8 is _________

In a regression analysis if SST = 200 and SSR = 200,r ² = _________.