In a regression analysis if SST = 200 and SSR = 200,r2 = ___.

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

Alan Bissell,market analyst for City Sound Mart,is analyzing the relation between heavy metal CD sales and the size of the teenage population.He gathers data from six sales districts.Alan's dependent variable is annual heavy metal CD sales (in $1,000,000's),and his independent variable is teenage population (in 1,000's).Regression analysis of the data yielded the following tables: Alan's regression model can be written as: ___.

(Multiple Choice)

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Question 41

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

(True/False)

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Question 42

In a regression analysis if SST = 200 and SSR = 200,r² = ___.

(Multiple Choice)

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Question 43

A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 3 days,the predicted cost of the trip is ___.

(Multiple Choice)

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Question 44

Alan Bissell,market analyst for City Sound Mart,is analyzing the relation between heavy metal CD sales and the size of the teenage population.He gathers data from six sales districts.Alan's dependent variable is annual heavy metal CD sales (in $1,000,000's),and his independent variable is teenage population (in 1,000's).Regression analysis of the data yielded the following tables: Using  = 0.05,Alan should ___.

(Multiple Choice)

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Question 45

The slope of the regression line,y = 21 − 5x,is 21.

(True/False)

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Question 46

One of the assumptions made in simple regression is that ___.

(Multiple Choice)

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Question 47

The numerical value of the coefficient of determination must be ___.

(Multiple Choice)

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Question 48

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

(Multiple Choice)

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Question 49

Determine the equation of the trend line to forecast outcomes for time periods in the future,using alternative coding for time periods if necessary.

(Essay)

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Question 50

A manager wishes to predict the annual cost (y)of an automobile based on the number of kilometres (x)driven.The following model was developed: y = 1,550 + .36x.If a car is driven 20,000 kilometres,the predicted cost is ___.

(Multiple Choice)

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Question 51

The following data is to be used to construct a regression model: The value of the y intercept is ___.

(Multiple Choice)

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Question 52

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 53

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 54

Alan Bissell,market analyst for City Sound Mart,is analyzing the relation between heavy metal CD sales and the size of the teenage population.He gathers data from six sales districts.Alan's dependent variable is annual heavy metal CD sales (in $1,000,000's),and his independent variable is teenage population (in 1,000's).Regression analysis of the data yielded the following tables: Alan's sample size is ___.

(Multiple Choice)

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Question 55

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

(Multiple Choice)

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Question 56

For a certain data set the regression equation is y = 21 - 3x.The correlation coefficient between y and x in this data set ___.

(Multiple Choice)

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Question 57

For a certain data set the regression equation is y = 2 + 3x.The correlation coefficient between y and x in this data set ___.

(Multiple Choice)

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Question 58

The assumption of constant error variance in regression analysis is called ___.

(Multiple Choice)

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Question 59

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 60

Showing 41 - 60 of 84

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

In a regression analysis if SST = 200 and SSR = 200,r² = ___.

A manager wants to predict the cost (y)of travel for salespeople based on the number of days (x)spent on each sales trip.The following model has been developed: y = $400 + 120x.If a trip took 3 days,the predicted cost of the trip is ___.

The slope of the regression line,y = 21 − 5x,is 21.

One of the assumptions made in simple regression is that ___.

The numerical value of the coefficient of determination must be ___.

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

Determine the equation of the trend line to forecast outcomes for time periods in the future,using alternative coding for time periods if necessary.

A manager wishes to predict the annual cost (y)of an automobile based on the number of kilometres (x)driven.The following model was developed: y = 1,550 + .36x.If a car is driven 20,000 kilometres,the predicted cost is ___.

The following data is to be used to construct a regression model: The value of the y intercept is ___.

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

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.

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

For a certain data set the regression equation is y = 21 - 3x.The correlation coefficient between y and x in this data set ___.

For a certain data set the regression equation is y = 2 + 3x.The correlation coefficient between y and x in this data set ___.

The assumption of constant error variance in regression analysis is called ___.

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

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

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