hello I just need help with the last part Students in QMB 3600 - Quantitative Methods in Business course decided to research the relationshipbetween the Mid Term Exam, the average number of study hours spent per week during the semester and thefinal course grade for a given student. A sample of containing data from a previous semester was provided by theinstructor and summarized in the following table:Average Number ofstudy hours per weekStudent #Mid-Term ExamFinal Course GradeGrade150.02.065.060.04.085.055.03.578.0485.06.090.055.05.070.06.72.04.589.0775.06.591.0845.03.065.088.05.589.01090.07.596.0Develop 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 modeland apply Hypothesis Testing to test the significance of the linear model for a = 0.05 exactly as demonstrated inthe Triple A Construction Example on page 121 of your textbook. Show all your calculations and follow the sameguidance provided in Problem #1.Plot a scatter diagram for the data used in topic (a) and plot the linear regression model as well. Followthe same guidance provided in Problem #1.Develop a linear regression model, where Y is the Final Grade Course and X is the Average Number ofStudy 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 asdemonstrated in the Triple A Construction Example on page 121 of your textbook. Show all your calculations andfollow the same guidance provided in Problem #1.Plot a scatter diagram for the data used in topic (c) and plot the linear regression model as well. Followthe same guidance provided in Problem #1..., Based on the coefficient of determination (r) for each linear regression models developed, which ofthe two linear regression models should be used to predict the Final Grade in QMB 3600 and explain your decision.

.., Based on the coefficient of determination (r) for each linear regression models developed, which of the two linear regression models should be used to predict the Final Grade in QMB 3600 and explain your decision.

.., Based on the coefficient of determination (r) for each linear regression models developed, which of the two linear regression models should be used to predict the Final Grade in QMB 3600 and explain your decision.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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