Question 1

Regression analysis asks:

Accepted Answer

A)  if there are differences between distinct populations 
B)  if the sample is representative of the population 
C)  how a single variable depends on other relevant variables 
D)  how several variables depend on each other 
A)  if there are differences between distinct populations 
B)  if the sample is representative of the population 
C)  how a single variable depends on other relevant variables 
D)  how several variables depend on each other

Question 2

A constant elasticity, or multiplicative, model the dependent variable is expressed as a product of explanatory variables raised to powers.

Accepted Answer

A) True 
 B)False

Question 3

La Cabaña, a popular motel chain in the southwest, is interested in developing a regression model that can predict the occupancy rate (%) of its motels. Currently, the company is interested in using two explanatory variables to predict occupancy. They want to use the amount of advertising (in $) used by each motel and if the particular location a franchised location. Some regression information is presented below:  
-(A) Use the information above to estimate the linear regression model.
(B) Interpret each of the estimated regression coefficients of the regression model in (A).
(C) Would any of the variables in this model be considered a dummy variable? Explain your answer.
(D) Identify and interpret the coefficient of determination (   ) and the standard error of the estimate (se) for the model in (A).

Accepted Answer

(A) @#IMG-DLM& (B) This model shows that the occup

Question 4

The residual is defined as the difference between the actual and predicted, or fitted values of the response variable.

Accepted Answer

A) True 
 B)False

Question 5

The primary purpose of a nonlinear transformation is to "straighten out" the data on a scatterplot.

Accepted Answer

A) True 
 B)False

Question 6

The two primary objectives of regression analysis are to study relationships between variables and to use those relationships to make predictions.

Accepted Answer

A) True 
 B)False

Question 7

In multiple regression, the coefficients reflect the expected change in:

Accepted Answer

A)  Y when the associated X value increases by one unit 
B)  X when the associated Y value increases by one unit 
C)  Y when the associated X value decreases by one unit 
D)  X when the associated Y value decreases by one unit 
A)  Y when the associated X value increases by one unit 
B)  X when the associated Y value increases by one unit 
C)  Y when the associated X value decreases by one unit 
D)  X when the associated Y value decreases by one unit

Question 8

Scatterplots are used for identifying outliers and quantifying relationships between variables.

Accepted Answer

A) True 
 B)False

Question 9

The multiple standard error of estimate will be:

Accepted Answer

A)  0.901 
B)  0.888 
C)  0.800 
D)  0.953 
E)  0.894 
A)  0.901 
B)  0.888 
C)  0.800 
D)  0.953 
E)  0.894

Question 10

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 11

The percentage of variation (R2) ranges from:

Accepted Answer

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

Question 12

A scatterplot that appears as a shapeless mass of data points indicates:

Accepted Answer

A)  a curved relationship among the variables 
B)  a linear relationship among the variables 
C)  a nonlinear relationship among the variables 
D)  no relationship among the variables 
A)  a curved relationship among the variables 
B)  a linear relationship among the variables 
C)  a nonlinear relationship among the variables 
D)  no relationship among the variables

Regression analysis asks:

A constant elasticity, or multiplicative, model the dependent variable is expressed as a product of explanatory variables raised to powers.

The residual is defined as the difference between the actual and predicted, or fitted values of the response variable.

The primary purpose of a nonlinear transformation is to "straighten out" the data on a scatterplot.

The two primary objectives of regression analysis are to study relationships between variables and to use those relationships to make predictions.

In multiple regression, the coefficients reflect the expected change in:

Scatterplots are used for identifying outliers and quantifying relationships between variables.

The multiple standard error of estimate will be:

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

The percentage of variation (R²) ranges from:

A scatterplot that appears as a shapeless mass of data points indicates:

Introduction to Business Analytics

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 10: Regression Analysis: Estimating Relationships

Regression analysis asks:

A constant elasticity, or multiplicative, model the dependent variable is expressed as a product of explanatory variables raised to powers.

The residual is defined as the difference between the actual and predicted, or fitted values of the response variable.

The primary purpose of a nonlinear transformation is to "straighten out" the data on a scatterplot.

The two primary objectives of regression analysis are to study relationships between variables and to use those relationships to make predictions.

In multiple regression, the coefficients reflect the expected change in:

Scatterplots are used for identifying outliers and quantifying relationships between variables.

The multiple standard error of estimate will be:

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

The percentage of variation (R2) ranges from:

A scatterplot that appears as a shapeless mass of data points indicates:

Introduction to Business Analytics

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential 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

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

The percentage of variation (R²) ranges from: