2/21/2021 Homework 2: Quiz format for True/False and Multiple Choice: Regression Analysis - ISYE-6414-OAN
Homework 2: Quiz format for True/False and Multiple
Choice
Due Feb 14 at 11:59pm Points 50 Questions 26
Available Feb 1 at 8am - Feb 14 at 11:59pm 14 days Time Limit None
Instructions
Due: Feb 14 at 11:59 p.m. Eastern
Attention: You only have ONE attempt to answer the True/False (30 pts.) and Multiple-choice (20 pts.)
questions.
This quiz was locked Feb 14 at 11:59pm.
Attempt History
Attempt Time Score
LATEST Attempt 1 12,071 minutes 50 out of 50
Score for this quiz: 50 out of 50
Submitted Feb 9 at 9:14pm
This attempt took 12,071 minutes.
Question 1 1..5 pts
[3.1. Objectives and Data Examples] Prediction is the only objective of
multiple linear regression.
True
Correct! False
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 1/19
,2/21/2021 Homework 2: Quiz format for True/False and Multiple Choice: Regression Analysis - ISYE-6414-OAN
See 3.1. Objectives and Data Examples
"Typically, a regression analysis is used for following purposes:
● Prediction of the target or response variable,
● Modeling the relationship of association between predicting
variables and the response variable,
● Testing hypothesis."
Question 2 1..5 pts
[3.2. Basic Concepts] In multiple linear regression, we study the
relationship between a single response variable and several predicting
quantitative and/or qualitative variables.
Correct! True
False
See 3.2. Basic Concepts
"In multiple linear regression, the data consists of the response
variable and a series of predicting or explanatory variables. More
specifically, we observe "n" realizations of the response variable
along with the corresponding predicting variables."
Question 3 1..5 pts
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 2/19
, 2/21/2021 Homework 2: Quiz format for True/False and Multiple Choice: Regression Analysis - ISYE-6414-OAN
[3.2. Basic Concepts] A multiple linear regression model contains 5
quantitative predicting variables and an intercept. The number of
parameters to estimate is 6.
True
Correct!
False
See 3.2. Basic Concepts
The model parameters are: 𝜷0, 𝜷1, … , 𝜷5, 𝜎 2
Thus 7.
Question 4 1..5 pts
[3.2. Basic Concepts] Given a qualitative predicting variable with 7
categories in a linear regression model with intercept, 7 dummy variables
need to be included in the model.
True
Correct!
False
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 3/19
Homework 2: Quiz format for True/False and Multiple
Choice
Due Feb 14 at 11:59pm Points 50 Questions 26
Available Feb 1 at 8am - Feb 14 at 11:59pm 14 days Time Limit None
Instructions
Due: Feb 14 at 11:59 p.m. Eastern
Attention: You only have ONE attempt to answer the True/False (30 pts.) and Multiple-choice (20 pts.)
questions.
This quiz was locked Feb 14 at 11:59pm.
Attempt History
Attempt Time Score
LATEST Attempt 1 12,071 minutes 50 out of 50
Score for this quiz: 50 out of 50
Submitted Feb 9 at 9:14pm
This attempt took 12,071 minutes.
Question 1 1..5 pts
[3.1. Objectives and Data Examples] Prediction is the only objective of
multiple linear regression.
True
Correct! False
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 1/19
,2/21/2021 Homework 2: Quiz format for True/False and Multiple Choice: Regression Analysis - ISYE-6414-OAN
See 3.1. Objectives and Data Examples
"Typically, a regression analysis is used for following purposes:
● Prediction of the target or response variable,
● Modeling the relationship of association between predicting
variables and the response variable,
● Testing hypothesis."
Question 2 1..5 pts
[3.2. Basic Concepts] In multiple linear regression, we study the
relationship between a single response variable and several predicting
quantitative and/or qualitative variables.
Correct! True
False
See 3.2. Basic Concepts
"In multiple linear regression, the data consists of the response
variable and a series of predicting or explanatory variables. More
specifically, we observe "n" realizations of the response variable
along with the corresponding predicting variables."
Question 3 1..5 pts
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 2/19
, 2/21/2021 Homework 2: Quiz format for True/False and Multiple Choice: Regression Analysis - ISYE-6414-OAN
[3.2. Basic Concepts] A multiple linear regression model contains 5
quantitative predicting variables and an intercept. The number of
parameters to estimate is 6.
True
Correct!
False
See 3.2. Basic Concepts
The model parameters are: 𝜷0, 𝜷1, … , 𝜷5, 𝜎 2
Thus 7.
Question 4 1..5 pts
[3.2. Basic Concepts] Given a qualitative predicting variable with 7
categories in a linear regression model with intercept, 7 dummy variables
need to be included in the model.
True
Correct!
False
https://gatech.instructure.com/courses/165848/quizzes/207801?module_item_id=1278654 3/19
