Mgt6203 - Study guides, Class notes & Summaries

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 + Residual Sum of Squares SST = SSE + SSR SSR = SST – SSE = 49 – 35 = 14 Week 2 Questions Q2. Consider a regression model predicting the amount someone has spent (on some arbitrary product) bas...

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 Sum of Squares SST = SSE + SSR SSR = SST – SSE = 49 – 35 = 14 Week 2 Questions Q2. Consider a regression model predicting the amount someone has spent (on some arbitrary product) based on their...

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...

MGT6203_Final Part1 - Spring

MGT – 6203: Homework 3 100 points: Part 1 (60 points Quiz) + Part 2 (40 points PeerCorrected) MGT – 6203: Homework 3 100 points: Part 1 (60 points Quiz) + Part 2 (40 points PeerCorrected)

Suppose we run a factor regression for a stock fund to see which factors explain its return and get the following output: Which campaign (campaign_id) has produced least number of ads with organic impressions? Among ads with organic impressions, which ad (ad_id) has the highest number of impressions?

SAMPLE FINAL EXAM QUESTIONS 2020 Theory - 10 questions (Final Exam will have 20 question) Q1. We have developed a regression model: Rent = b0+ b1* House_WithPool where House_WithPool is a dummy variable set to 1 if a house has a Pool and is set to 0 otherwise. The Regression summary output is Estimate S.E. t Value Pr>|t| Intercept 1542.149 2.954 12.58*** <.001 House_WithPool 253.666 3.123 11.42*** <.001 What is the average rent of a house with Pool given the summary output? ...

MGT6203_Final Part1 - Spring