In a regression analysis if SST = 150 and SSR = 100,r 2 = _________.

A) 0.82 B) 1.22 C) 1.50 D) 0.67 E) -1.00 A) 0.82 B) 1.22 C) 1.50 D) 0.67 E) -1.00

Exam 12: Simple Regression Analysis and Correlation

A researcher has developed the regression equation y = 2.164 + 1.3657x,where n = 6,the mean of x is 8.667,S_xx= 89.333,and S_e= 3.44.The researcher wants to test if the slope is significantly positive,and he chooses a significance level of 0.05.The critical t value is ______.

(Multiple Choice)

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Question 41

In regression,the predictor variable is called the dependent variable.

(True/False)

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Question 42

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 regression model can be written as: __________.

(Multiple Choice)

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Question 43

A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch).The slope of the accountant's model is ______.

(Multiple Choice)

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Question 44

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

(Multiple Choice)

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Question 45

A simple regression model resulted in a sum of squares of error of 125 ,and the standard error is 3.95.This model is for ______ pairs of data.

(Multiple Choice)

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Question 46

The standard error of the estimate,denoted s_e,is the square root of the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

(True/False)

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Question 47

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The dependent variable is ______.

(Multiple Choice)

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Question 48

The following residuals plot indicates _______________.

(Multiple Choice)

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Question 49

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

(True/False)

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Question 50

In the simple regression model,y = 21 − 5x,if the coefficient of determination is 0.81,we can say that the coefficient of correlation between y and x is 0.90.

(True/False)

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Question 51

In a simple regression the coefficient of correlation is the square root of the coefficient of determination.

(True/False)

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Question 52

The process of constructing a mathematical model or function that can be used to predict or determine one variable by another variable is called regression analysis.

(True/False)

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Question 53

To determine whether the overall regression model is significant,the F-test is used.

(True/False)

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Question 54

From the following scatter plot,we can say that between y and x there is _______.

(Multiple Choice)

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Question 55

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 56

If there is perfect negative correlation between two sets of numbers,then _______.

(Multiple Choice)

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Question 57

The numerical value of the coefficient of correlation must be _______.

(Multiple Choice)

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Question 58

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 sample size (n)is ________________.

(Multiple Choice)

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Question 59

In a regression analysis if SST = 150 and SSR = 100,r ² = _________.

(Multiple Choice)

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Question 60

Showing 41 - 60 of 106

A researcher has developed the regression equation y = 2.164 + 1.3657x,where n = 6,the mean of x is 8.667,S_xx= 89.333,and S_e= 3.44.The researcher wants to test if the slope is significantly positive,and he chooses a significance level of 0.05.The critical t value is ______.

In regression,the predictor variable is called the dependent variable.

A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch).The slope of the accountant's model is ______.

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

A simple regression model resulted in a sum of squares of error of 125 ,and the standard error is 3.95.This model is for ______ pairs of data.

The standard error of the estimate,denoted s_e,is the square root of the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The dependent variable is ______.

The following residuals plot indicates _______________.

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

In the simple regression model,y = 21 − 5x,if the coefficient of determination is 0.81,we can say that the coefficient of correlation between y and x is 0.90.

In a simple regression the coefficient of correlation is the square root of the coefficient of determination.

The process of constructing a mathematical model or function that can be used to predict or determine one variable by another variable is called regression analysis.

To determine whether the overall regression model is significant,the F-test is used.

From the following scatter plot,we can say that between y and x there is _______.

If there is perfect negative correlation between two sets of numbers,then _______.

The numerical value of the coefficient of correlation must be _______.

In a regression analysis if SST = 150 and SSR = 100,r ² = _________.

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

A Nalysis 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

A researcher has developed the regression equation y = 2.164 + 1.3657x,where n = 6,the mean of x is 8.667,Sxx = 89.333,and Se = 3.44.The researcher wants to test if the slope is significantly positive,and he chooses a significance level of 0.05.The critical t value is ______.

In regression,the predictor variable is called the dependent variable.

A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch).The slope of the accountant's model is ______.

The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.

A simple regression model resulted in a sum of squares of error of 125 ,and the standard error is 3.95.This model is for ______ pairs of data.

The standard error of the estimate,denoted se,is the square root of the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

A quality manager is developing a regression model to predict the total number of defects as a function of the day of week the item is produced.Production runs are done 10 hours a day,7 days a week. The dependent variable is ______.

The following residuals plot indicates _______________.

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

In the simple regression model,y = 21 − 5x,if the coefficient of determination is 0.81,we can say that the coefficient of correlation between y and x is 0.90.

In a simple regression the coefficient of correlation is the square root of the coefficient of determination.

The process of constructing a mathematical model or function that can be used to predict or determine one variable by another variable is called regression analysis.

To determine whether the overall regression model is significant,the F-test is used.

From the following scatter plot,we can say that between y and x there is _______.

If there is perfect negative correlation between two sets of numbers,then _______.

The numerical value of the coefficient of correlation must be _______.

In a regression analysis if SST = 150 and SSR = 100,r 2 = _________.

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

A Nalysis 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

A researcher has developed the regression equation y = 2.164 + 1.3657x,where n = 6,the mean of x is 8.667,S_xx= 89.333,and S_e= 3.44.The researcher wants to test if the slope is significantly positive,and he chooses a significance level of 0.05.The critical t value is ______.

The standard error of the estimate,denoted s_e,is the square root of the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

In a regression analysis if SST = 150 and SSR = 100,r ² = _________.