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CS MGT6203 Data Analytics for Business COMPLETE COURSE- Latest Update
CS MGT6203 Data Analytics for Business COMPLETE COURSE- Latest Update
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MGT 6203 spring 2022 midterm part 1 (QUESTIONS AND ANSWERS) - Georgia Institute Of Technology
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Add to cartMGT 6203 spring 2022 midterm part 1 (QUESTIONS AND ANSWERS) - Georgia Institute Of Technology
Self Assessment 2 
Due Sep 16 at 11:59pm Points 10 Questions 10 
Available Sep 4 at 8am - Sep 16 at 11:59pm 13 days Time Limit None 
Allowed Attempts 2 
Instrucons 
Aempt History 
Attempt Time Score 
LATEST Attempt 1 61 minutes 10 out of 10 
 Correct answers are hidden. 
Score for this attempt: 1...
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Add to cartSelf Assessment 2 
Due Sep 16 at 11:59pm Points 10 Questions 10 
Available Sep 4 at 8am - Sep 16 at 11:59pm 13 days Time Limit None 
Allowed Attempts 2 
Instrucons 
Aempt History 
Attempt Time Score 
LATEST Attempt 1 61 minutes 10 out of 10 
 Correct answers are hidden. 
Score for this attempt: 1...
Summer MGT 6203 MID EXAM 
PART2 – CODING 
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% sig...
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Add to cartSummer MGT 6203 MID EXAM 
PART2 – CODING 
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% sig...
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. Wh...
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Add to cartSelf 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. Wh...
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 va...
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Add to cartAssumptions 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 va...
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 tr...
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Add to cartHomework 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 tr...
Graded Homework #1: Part 2 
# For setting options for output formatting 
library(knitr) 
library(formatR) 
opts_chunk$set(=list(f=60),tidy=TRUE) 
# For creating tibble representation of data 
suppressWarnings(suppressMessages(library(tidyverse))) 
# Read data files 
# For Q1 
airbnb_data = ('D:...
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Add to cartGraded Homework #1: Part 2 
# For setting options for output formatting 
library(knitr) 
library(formatR) 
opts_chunk$set(=list(f=60),tidy=TRUE) 
# For creating tibble representation of data 
suppressWarnings(suppressMessages(library(tidyverse))) 
# Read data files 
# For Q1 
airbnb_data = ('D:...
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 
ad...
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Add to cartQ1) 
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 
ad...
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)> ...
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