CS MGT6203 Data Analytics for Business
Georgia Institute Of Technology
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CS MGT6203 Data Analytics for Business Midterm Exam Spring 2023
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CS MGT6203 Data Analytics for Business Midterm Exam Spring 2023
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MGT6203 Data Analytics in Business Grade Homework#2 Part 2 with Complete Solutions
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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)> 
> data(PlantGrowth) 
> force(PlantGrowth) 
Perform the following operations: 
(i) Create two separate datasets, one with datapoints of treatment 1 group along with control group 
and other with...
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CS MGT6203 Data Analytics for Business Midterm Part 2 solutions_V_2.0
- Exam (elaborations) • 23 pages • 2023
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Q1) 
For this problem, load the College dataset from the ISLR package 
library("ISLR") 
data("College") 
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 R-squared and 
adjusted R-squared values respectively? 
a) 0.00549, 0.048 
b) 0.0143, 0.022 
c) 0.0398, 0.0385 
d) 0.0325, 0.0336 
Answer: C (Week 1 Lesson 4) 
library("ISLR") 
data("College") 
summary(lm(College$...
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CS MGT6203 Data Analytics for Business Graded-Homework1-Part2 with Complete Solutions
- Exam (elaborations) • 14 pages • 2023
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Graded Homework #1: Part 2 
# For setting options for output formatting 
library(knitr) 
library(formatR) 
opts_chunk$set(=list(f=60),tidy=TRUE) 
# For creating tibble representation of data 
suppressWarnings(suppressMessages(library(tidyverse))) 
# Read data files 
# For Q1 
airbnb_data = ('D:GATECH6203HWairbnb_') 
airbnb_data<- as_tibble(airbnb_data) 
# For Q2 
direct_marketing_data = ('D:GATECH6203HWdirect_') 
direct_marketing_data <- as_tibble(direct...
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CS MGT6203 Data Analytics for Business Homework 2 - Part 2 with Complete Solutions
- Exam (elaborations) • 7 pages • 2023
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Homework 2 – Part2 
Q1.) For part A and B 
PlantGrowth is a dataset in R that contains crop weights of a control group and two 
treatment groups. 
#Code to Get Data 
library(datasets) 
data(PlantGrowth) 
Perform the following operations: 
(i) Create two separate datasets, one with datapoints of treatment 1 group along with 
control group and other with datapoints of treatment 2 group with the control group. 
A) 
Now compute the difference estimator for treatment 1 and treatment 2 datasets that...
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CS MGT6203 Data Analytics for Business Midterm 1 - cheat sheet 2023
- Exam (elaborations) • 2 pages • 2023
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Assumptions of OLS 
Linearity Assumption: E[Y] = β0 + β1x. We are assuming the expected value of Y for any given X is a linear function of X (approximates to a straight line) 2. 
Assumption about errors: We assume the error terms are independently and identically distributed (iid) normal random variables with 0 mean and variance σ. 3. 
Assumptions about predictors: For multiple regression (more than 1 predictor) we assume the predictors are linearly independent. Heteroskedasticity might requi...
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CS MGT6203 Data Analytics for Business Self Assessment : Week 12 With Complete Solutions
- Exam (elaborations) • 3 pages • 2023
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Self Assessment : Week 12 
1. How would you best describe Operations Management? 
A. Direction and control of process that transform inputs into finished goods and service 
B. How to make operating machines 
C. Scheduling of workers on the manufacturing floor 
D. Deciding what to make 
Ans: A 
2. Which is not a question typically concerned with Operations Management? 
A. What benefits package should we offer our employees? 
B. What types of queues should we employ? 
C. How much capacity do we ne...
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