Homework Help is Here – Start Your Trial Now!
Math
Statistics
Students in QMB 3600-Quantitative Methods in Business course decided to research the relationship between the Mid Term Exam, the average number of study hours spent per week during the semester and the 2. final course grade for a given student. A sample of containing data from a previous semester was provided by the instructor and summarized in the following table: Average Number of study hours per week Student # Mid-Term Exam Final Course Grade Grade 50.0 2.0 65.0 60.0 4.0 85.0 55.0 3.5 78.0 85.0 6.0 90.0 55.0 5.0 70.0 6. 72.0 4.5 89.0 7. 75.0 6.5 91.0 8. 45.0 3.0 65.0 88.0 5.5 89.0 10 90.0 7.5 96.0 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. Coofficient of determination (r?), the coefficient of correlation (r), the variance (o?) for the model a) 123 4nuD

Students in QMB 3600-Quantitative Methods in Business course decided to research the relationship between the Mid Term Exam, the average number of study hours spent per week during the semester and the 2. final course grade for a given student. A sample of containing data from a previous semester was provided by the instructor and summarized in the following table: Average Number of study hours per week Student # Mid-Term Exam Final Course Grade Grade 50.0 2.0 65.0 60.0 4.0 85.0 55.0 3.5 78.0 85.0 6.0 90.0 55.0 5.0 70.0 6. 72.0 4.5 89.0 7. 75.0 6.5 91.0 8. 45.0 3.0 65.0 88.0 5.5 89.0 10 90.0 7.5 96.0 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. Coofficient of determination (r?), the coefficient of correlation (r), the variance (o?) for the model a) 123 4nuD

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
2. Students in QMB 3600 - Quantitative Methods in Business course decided to research the relationship between the Mid Term Exam, the average number of study hours spent per week during the semester and the final course grade for a given student. A sample of containing data from a previous semester was provided by the instructor and summarized in the following table: Student # Average Number of study hours per week Mid-Term Exam Final Course Grade Grade 1 50.0 2.0 65.0 60.0 4.0 85.0 3. 55.0 3.5 78.0 4 85.0 6.0 90.0 5 55.0 5.0 70.0 72.0 4.5 89.0 7 75.0 6.5 91.0 8. 45.0 3.0 65.0 88.0 5.5 89.0 10 90.0 7.5 96.0 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. a) Calculate the coefficient of determination (r), the coefficient of correlation (r), the variance (o) for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. Plot a scatter diagram for the data used in topic (a) and plot the linear regression model as well. Follow b) the same guidance proided in Problem #1 acer
Transcribed Image Text:2. Students in QMB 3600 - Quantitative Methods in Business course decided to research the relationship between the Mid Term Exam, the average number of study hours spent per week during the semester and the final course grade for a given student. A sample of containing data from a previous semester was provided by the instructor and summarized in the following table: Student # Average Number of study hours per week Mid-Term Exam Final Course Grade Grade 1 50.0 2.0 65.0 60.0 4.0 85.0 3. 55.0 3.5 78.0 4 85.0 6.0 90.0 5 55.0 5.0 70.0 72.0 4.5 89.0 7 75.0 6.5 91.0 8. 45.0 3.0 65.0 88.0 5.5 89.0 10 90.0 7.5 96.0 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. a) Calculate the coefficient of determination (r), the coefficient of correlation (r), the variance (o) for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. Plot a scatter diagram for the data used in topic (a) and plot the linear regression model as well. Follow b) the same guidance proided in Problem #1 acer
os/u-7d5fb 570a2de7bb8f997c321ec3d3f511b53d7b4/MyFiles/CDownloads/QMB%203600-97216%20Fal|%202021%20-%20Rodri- es- Chapter 4 Problems.pdf 212 100 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. Calculate the coefficient of determination (r), the coefficient of correlation (r), the variance (o) for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. b) Plot a scatter diagram for the data used in topic (a) and plot the linear regression model as well. Follow the same guidance provided in Problem #1. c) Study Hours per week. Calculate the coefficient of determination (r'), the coefficient of correlation (r), the variance (o') for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. Develop a linear regression model, where Y is the Final Grade Course and X is the Average Number of d) Plot a scatter diagram for the data used in topic (c) and plot the linear regression model as well. Follow the same guidance provided in Problem #1. e) Based on the coefficient of determination (r) for each linear regression models developed, which of the two linearregression models should be used to predict the Final Grade in QMB 3600 and explain your decision.
Transcribed Image Text:os/u-7d5fb 570a2de7bb8f997c321ec3d3f511b53d7b4/MyFiles/CDownloads/QMB%203600-97216%20Fal|%202021%20-%20Rodri- es- Chapter 4 Problems.pdf 212 100 Develop a linear regression model, where Y is the Final Grade Course and X is the Mid-Term Exam. Calculate the coefficient of determination (r), the coefficient of correlation (r), the variance (o) for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. b) Plot a scatter diagram for the data used in topic (a) and plot the linear regression model as well. Follow the same guidance provided in Problem #1. c) Study Hours per week. Calculate the coefficient of determination (r'), the coefficient of correlation (r), the variance (o') for the model and apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the same guidance provided in Problem #1. Develop a linear regression model, where Y is the Final Grade Course and X is the Average Number of d) Plot a scatter diagram for the data used in topic (c) and plot the linear regression model as well. Follow the same guidance provided in Problem #1. e) Based on the coefficient of determination (r) for each linear regression models developed, which of the two linearregression models should be used to predict the Final Grade in QMB 3600 and explain your decision.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 3 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS