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MGT 6203 DATA ANALYTICS IN BUSINESS COMPLETE COURSE
MGT 6203 DATA ANALYTICS IN BUSINESS COMPLETE COURSE. This bundle contains all the study resources to help you pass the MGT6203 course.
[Show more]MGT 6203 DATA ANALYTICS IN BUSINESS COMPLETE COURSE. This bundle contains all the study resources to help you pass the MGT6203 course.
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MIDTERM – SOLUTION KEY 
CODING QNS 
Q21) Please estimate a linear regression model (using the lm function) with Personal as the 
dependent variable and Room.Board as the independent variable. What are the model’s Rsquared and adjusted R-squared values? 
a) 0.00549, 0.048 
b) 0.0143, 0.022 
c) 0....
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Add to cartMIDTERM – SOLUTION KEY 
CODING QNS 
Q21) Please estimate a linear regression model (using the lm function) with Personal as the 
dependent variable and Room.Board as the independent variable. What are the model’s Rsquared and adjusted R-squared values? 
a) 0.00549, 0.048 
b) 0.0143, 0.022 
c) 0....
MGT6203 Data Analytics in Business 
Grade Homework#2 Part 2 
Instructions for Q1 
For parts A and B: 
PlantGrowth is a dataset in R that contains crop weights of a control group and two treatment groups. 
Clear the environment and get data 
> rm(list = ls()) 
> (1) 
> library(datasets)> ...
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Add to cartMGT6203 Data Analytics in Business 
Grade Homework#2 Part 2 
Instructions for Q1 
For parts A and B: 
PlantGrowth is a dataset in R that contains crop weights of a control group and two treatment groups. 
Clear the environment and get data 
> rm(list = ls()) 
> (1) 
> library(datasets)> ...
Graded Homework 1 
Solution Manual 
Question 1. Choose the correct statement regarding the sum of 
residuals calculated using Ordinary Least Squares (OLS). 
Answer 1. (B) The sum of residuals will always be equal to zero if you include 
intercept term in your model and you are using OLS to estimate ...
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Add to cartGraded Homework 1 
Solution Manual 
Question 1. Choose the correct statement regarding the sum of 
residuals calculated using Ordinary Least Squares (OLS). 
Answer 1. (B) The sum of residuals will always be equal to zero if you include 
intercept term in your model and you are using OLS to estimate ...
FINAL EXAM QUESTIONS 2020 
Theory - 20 questions 
Week 1 Questions 
Q1. If the explained sum of squares is 35 and the total sum of squares is 49, what is the 
residual sum of squares? 
A. 10 
B. 14 
C. 12 
D. 18 
Solution: B 
Explanation: Total Sum of Squares = Explained Sum of Squares + Residual Su...
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Add to cartFINAL EXAM QUESTIONS 2020 
Theory - 20 questions 
Week 1 Questions 
Q1. If the explained sum of squares is 35 and the total sum of squares is 49, what is the 
residual sum of squares? 
A. 10 
B. 14 
C. 12 
D. 18 
Solution: B 
Explanation: Total Sum of Squares = Explained Sum of Squares + Residual Su...
*Q1) Consider a linear regression model with 2 independent variables (assume both are 
correlated with the response variable). If we add an interaction term between the independent 
variables to the model, how will the model be affected: 
A) The R2 will increase (or remain the same) with certainty w...
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Add to cart*Q1) Consider a linear regression model with 2 independent variables (assume both are 
correlated with the response variable). If we add an interaction term between the independent 
variables to the model, how will the model be affected: 
A) The R2 will increase (or remain the same) with certainty w...
FINAL EXAM QUESTIONS 2021 
 
Theory - 20 questions 
 
Week 1 Questions 
 
Q1. If the explained sum of squares is 35 and the total sum of squares is 49, what is the residual sum of squares? 
A.	10 
B.	14 
C.	12 
D.	18 
 
Solution: B 
 
Explanation: Total Sum of Squares = Explained Sum of Squares + Re...
Preview 3 out of 21 pages
Add to cartFINAL EXAM QUESTIONS 2021 
 
Theory - 20 questions 
 
Week 1 Questions 
 
Q1. If the explained sum of squares is 35 and the total sum of squares is 49, what is the residual sum of squares? 
A.	10 
B.	14 
C.	12 
D.	18 
 
Solution: B 
 
Explanation: Total Sum of Squares = Explained Sum of Squares + Re...
1.	Imagine that ten programmers are sitting on bar stools in a middle-class drinking establishment in Seattle; each of these programmers earns $500,000/year, which makes the mean and the median annual income $500,000. Prof. Happy who has an annual income of $100,000, walks into the bar and sits with...
Preview 1 out of 4 pages
Add to cart1.	Imagine that ten programmers are sitting on bar stools in a middle-class drinking establishment in Seattle; each of these programmers earns $500,000/year, which makes the mean and the median annual income $500,000. Prof. Happy who has an annual income of $100,000, walks into the bar and sits with...
Ques 5 / 5 pts tion 1 
In a linear regression problem, we are using “R-squared” to measure 
goodness-of-fit. We add a feature (variable) in linear regression model 
and retrain the same model. 
 
Which of the following option is true? 
 If R Squared increases, this variable is significant. 
 If ...
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Add to cartQues 5 / 5 pts tion 1 
In a linear regression problem, we are using “R-squared” to measure 
goodness-of-fit. We add a feature (variable) in linear regression model 
and retrain the same model. 
 
Which of the following option is true? 
 If R Squared increases, this variable is significant. 
 If ...
Question 1 
Choose the correct statement regarding the sum of residuals calculated using Ordinary Least 
Squares (OLS). 
A. The sum of residuals will always be nonzero whatever the form of the linear regression 
as long as you are using OLS to estimate the coefficients. 
B. The sum of residuals will...
Preview 2 out of 15 pages
Add to cartQuestion 1 
Choose the correct statement regarding the sum of residuals calculated using Ordinary Least 
Squares (OLS). 
A. The sum of residuals will always be nonzero whatever the form of the linear regression 
as long as you are using OLS to estimate the coefficients. 
B. The sum of residuals will...
Week 1 
Use the inbuilt dataset ‘longley’ for questions 1 and 2. 
Q1) Fit a linear regression model with ‘Employed’ as the response 
variable and all other variables (except ‘Year’) as predictors. What are the 
significant predictors at 10% significance level? 
A. GNP 
B. GNP, Armed.Forc...
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Add to cartWeek 1 
Use the inbuilt dataset ‘longley’ for questions 1 and 2. 
Q1) Fit a linear regression model with ‘Employed’ as the response 
variable and all other variables (except ‘Year’) as predictors. What are the 
significant predictors at 10% significance level? 
A. GNP 
B. GNP, Armed.Forc...
Part 1 (all questions 5 points) 
Q.1 The “Value” factor belongs to which of the following category of factors? 
A. Macroeconomic Factors 
B. Statistical Factors 
C. Fundamental Factors 
Answer: C 
Explanation: The Value factor belongs to the class of fundamental factors as it is based on 
the Bo...
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Add to cartPart 1 (all questions 5 points) 
Q.1 The “Value” factor belongs to which of the following category of factors? 
A. Macroeconomic Factors 
B. Statistical Factors 
C. Fundamental Factors 
Answer: C 
Explanation: The Value factor belongs to the class of fundamental factors as it is based on 
the Bo...
Question 1 
Recency train 25%, 50%, 75% quantiles 
 
DollarTrain 25%, 50%, 75% quantiles 
 
 
Question 2 
 
 
 
 
 
 
 
 
RecencyTrain_rc	X1	X2	X3	X4	Total 
1	NA	16.017	26.376	83.227	61.606 
2	2.731	9.850	15.274	29.305	14.065 
3	5.139	4.887	5.696	27.723	7.360 
4	4.044	3.119	10.253	3.900	5.013 
Total...
Preview 2 out of 9 pages
Add to cartQuestion 1 
Recency train 25%, 50%, 75% quantiles 
 
DollarTrain 25%, 50%, 75% quantiles 
 
 
Question 2 
 
 
 
 
 
 
 
 
RecencyTrain_rc	X1	X2	X3	X4	Total 
1	NA	16.017	26.376	83.227	61.606 
2	2.731	9.850	15.274	29.305	14.065 
3	5.139	4.887	5.696	27.723	7.360 
4	4.044	3.119	10.253	3.900	5.013 
Total...
MGT 6203 Week 10 Self Assessment 6_ Data Analytics Business - MGT-6203-OAN | Georgia Institute Of Technology
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Add to cartMGT 6203 Week 10 Self Assessment 6_ Data Analytics Business - MGT-6203-OAN | Georgia Institute Of Technology
Week 10 Self Assessment 6_ Data Analytics Business - MGT-6203-OAN
Preview 2 out of 6 pages
Add to cartWeek 10 Self Assessment 6_ Data Analytics Business - MGT-6203-OAN
Q.1 From 2012 to 2018, which pricing model (Performance, CPM, Hybrid) has brought in the most 
revenue? 
a. Performance pricing model 
b. CPM pricing model 
c. Hybrid pricing model 
d. All models have performed the same 
Explanation: Week 7, Video 3, Slide 13 
Q.2 What does CPM stand for? 
a. Cost P...
Preview 2 out of 15 pages
Add to cartQ.1 From 2012 to 2018, which pricing model (Performance, CPM, Hybrid) has brought in the most 
revenue? 
a. Performance pricing model 
b. CPM pricing model 
c. Hybrid pricing model 
d. All models have performed the same 
Explanation: Week 7, Video 3, Slide 13 
Q.2 What does CPM stand for? 
a. Cost P...
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