Question 1

A "fan" shape in a scatterplot indicates

Accepted Answer

A) unequal variance. 
B) a nonlinear relationship. 
C) the absence of outliers. 
D) sampling error. 
A) unequal variance. 
B) a nonlinear relationship. 
C) the absence of outliers. 
D) sampling error. A

Question 2

We should include an interaction variable in a regression model if we believe that the effect of one explanatory variable   on the response variable Y depends on the value of another explanatory variable   .

Accepted Answer

A) True 
 B)False  True

Question 3

A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are

Accepted Answer

A) mutually exclusive. 
B) inversely related. 
C) directly related. 
D) highly correlated. 
A) mutually exclusive. 
B) inversely related. 
C) directly related. 
D) highly correlated. D

Question 4

A regression analysis between X = sales (in $1000s)and Y = advertising (in $)resulted in the following least squares line:   = 32 + 8X.This implies that an increase of $1 in advertising is expected to result in an increase of $40 in sales.

Accepted Answer

A) True 
 B)False

Question 5

The adjusted R2 is used primarily to monitor whether extra explanatory variables belong in a multiple regression model.

Accepted Answer

A) True 
 B)False

Question 6

The percentage of variation (   )can be interpreted as the fraction (or percent)of variation of the

Accepted Answer

A) explanatory variable explained by the independent variable. 
B) explanatory variable explained by the regression line. 
C) response variable explained by the regression line. 
D) error explained by the regression line. 
A) explanatory variable explained by the independent variable. 
B) explanatory variable explained by the regression line. 
C) response variable explained by the regression line. 
D) error explained by the regression line.

Question 7

In choosing the "best-fitting" line through a set of points in linear regression,we choose the one with the

Accepted Answer

A) smallest sum of squared residuals. 
B) largest sum of squared residuals. 
C) smallest number of outliers. 
D) largest number of points on the line. 
A) smallest sum of squared residuals. 
B) largest sum of squared residuals. 
C) smallest number of outliers. 
D) largest number of points on the line.

Question 8

An outlier is an observation that falls outside of the general pattern of the rest of the observations on a scatterplot.

Accepted Answer

A) True 
 B)False

Question 9

The multiple R for a regression is the correlation between the observed Y values and the fitted Y values.

Accepted Answer

A) True 
 B)False

Question 10

In a simple regression analysis,if the standard error of estimate   = 15 and the number of observations n = 10,then the sum of the residuals squared must be 120.

Accepted Answer

A) True 
 B)False

Question 11

A negative relationship between an explanatory variable X and a response variable Y means that as X increases,Y decreases,and vice versa.

Accepted Answer

A) True 
 B)False

Question 12

In linear regression,we fit the least squares line to a set of values (or points on a scatterplot).The distance from the line to a point is called the

Accepted Answer

A) fitted value. 
B) residual. 
C) correlation. 
D) covariance. 
A) fitted value. 
B) residual. 
C) correlation. 
D) covariance.

Question 13

The term autocorrelation refers to

Accepted Answer

A) the analyzed data refers to itself. 
B) the sample is related too closely to the population. 
C) the data are in a loop (values repeat themselves). 
D) time series variables are usually related to their own past values. 
A) the analyzed data refers to itself. 
B) the sample is related too closely to the population. 
C) the data are in a loop (values repeat themselves). 
D) time series variables are usually related to their own past values.

Question 14

Scatterplots are used for identifying outliers and indicating what you should do about the outliers you may find.

Accepted Answer

A) True 
 B)False

Question 15

Outliers are observations that

Accepted Answer

A) lie outside the sample. 
B) render the study useless. 
C) lie outside the typical pattern of points on a scatterplot. 
D) disrupt the entire linear trend. 
A) lie outside the sample. 
B) render the study useless. 
C) lie outside the typical pattern of points on a scatterplot. 
D) disrupt the entire linear trend.

Question 16

In linear regression,we can have an interaction variable.Algebraically,the interaction variable is the _____ of two variables.

Accepted Answer

A) sum 
B) ratio 
C) product 
D) mean 
A) sum 
B) ratio 
C) product 
D) mean

Question 17

_____ is/are especially helpful in identifying outliers.

Accepted Answer

A) Linear regression 
B) Regression analysis 
C) Normal curves 
D) Scatterplots 
A) Linear regression 
B) Regression analysis 
C) Normal curves 
D) Scatterplots

Question 18

The correlation value ranges from

Accepted Answer

A) 0 to +1. 
B) -1 to +1. 
C) -2 to +2. 
D) 0 to 100. 
A) 0 to +1. 
B) -1 to +1. 
C) -2 to +2. 
D) 0 to 100.

Question 19

In regression analysis,the variable we are trying to explain or predict is called the _____ variable.

Accepted Answer

A) independent 
B) dependent 
C) regression 
D) statistical 
A) independent 
B) dependent 
C) regression 
D) statistical

Question 20

Approximately what percentage of the observed Y values are within one standard error of the estimate (   )of the corresponding fitted Y values?

Accepted Answer

A) 67% 
B) 95% 
C) 99% 
D) 99.7% 
A) 67% 
B) 95% 
C) 99% 
D) 99.7%

A "fan" shape in a scatterplot indicates

We should include an interaction variable in a regression model if we believe that the effect of one explanatory variable on the response variable Y depends on the value of another explanatory variable .

A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are

A regression analysis between X = sales (in $1000s)and Y = advertising (in $)resulted in the following least squares line: = 32 + 8X.This implies that an increase of $1 in advertising is expected to result in an increase of $40 in sales.

The adjusted R² is used primarily to monitor whether extra explanatory variables belong in a multiple regression model.

The percentage of variation ( $The percentage of variation ( )can be interpreted as the fraction (or percent)of variation of the$ )can be interpreted as the fraction (or percent)of variation of the

In choosing the "best-fitting" line through a set of points in linear regression,we choose the one with the

An outlier is an observation that falls outside of the general pattern of the rest of the observations on a scatterplot.

The multiple R for a regression is the correlation between the observed Y values and the fitted Y values.

In a simple regression analysis,if the standard error of estimate = 15 and the number of observations n = 10,then the sum of the residuals squared must be 120.

A negative relationship between an explanatory variable X and a response variable Y means that as X increases,Y decreases,and vice versa.

In linear regression,we fit the least squares line to a set of values (or points on a scatterplot).The distance from the line to a point is called the

The term autocorrelation refers to

Scatterplots are used for identifying outliers and indicating what you should do about the outliers you may find.

Outliers are observations that

In linear regression,we can have an interaction variable.Algebraically,the interaction variable is the _____ of two variables.

_____ is/are especially helpful in identifying outliers.

The correlation value ranges from

In regression analysis,the variable we are trying to explain or predict is called the _____ variable.

Approximately what percentage of the observed Y values are within one standard error of the estimate ( )of the corresponding fitted Y values?

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 10: Regression Analysis: Estimating Relationships

A "fan" shape in a scatterplot indicates

We should include an interaction variable in a regression model if we believe that the effect of one explanatory variable on the response variable Y depends on the value of another explanatory variable .

A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are

A regression analysis between X = sales (in $1000s)and Y = advertising (in $)resulted in the following least squares line: = 32 + 8X.This implies that an increase of $1 in advertising is expected to result in an increase of $40 in sales.

The adjusted R2 is used primarily to monitor whether extra explanatory variables belong in a multiple regression model.

The percentage of variation ( )can be interpreted as the fraction (or percent)of variation of the

In choosing the "best-fitting" line through a set of points in linear regression,we choose the one with the

An outlier is an observation that falls outside of the general pattern of the rest of the observations on a scatterplot.

The multiple R for a regression is the correlation between the observed Y values and the fitted Y values.

In a simple regression analysis,if the standard error of estimate = 15 and the number of observations n = 10,then the sum of the residuals squared must be 120.

A negative relationship between an explanatory variable X and a response variable Y means that as X increases,Y decreases,and vice versa.

In linear regression,we fit the least squares line to a set of values (or points on a scatterplot).The distance from the line to a point is called the

The term autocorrelation refers to

Scatterplots are used for identifying outliers and indicating what you should do about the outliers you may find.

Outliers are observations that

In linear regression,we can have an interaction variable.Algebraically,the interaction variable is the _____ of two variables.

_____ is/are especially helpful in identifying outliers.

The correlation value ranges from

In regression analysis,the variable we are trying to explain or predict is called the _____ variable.

Approximately what percentage of the observed Y values are within one standard error of the estimate ( )of the corresponding fitted Y values?

Introduction to Business Analytics

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

The adjusted R² is used primarily to monitor whether extra explanatory variables belong in a multiple regression model.

The percentage of variation ( $The percentage of variation ( )can be interpreted as the fraction (or percent)of variation of the$ )can be interpreted as the fraction (or percent)of variation of the