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Multiple Linear Regression A nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. Student GPAX₁ 3.2 2.7 2.5 3.4 2.2 Age x₂ 22 27 24 28 23 State board score y 550 570 525 670 490 My Solution E a) Refer to fitlm. From its output, determine the b0, b1, and b2. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitlm on MATLAB Answers. b) Predict a student's state board score who has a GPA of 3.0 and who is 25 years old. The multiple regression equation is ŷ = bo+b₁x₁ + b₂x2. c) Obtain the Coefficient of Determination (R²) from fitlm's output. Check LinearModel.

Multiple Linear Regression A nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. Student GPAX₁ 3.2 2.7 2.5 3.4 2.2 Age x₂ 22 27 24 28 23 State board score y 550 570 525 670 490 My Solution E a) Refer to fitlm. From its output, determine the b0, b1, and b2. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitlm on MATLAB Answers. b) Predict a student's state board score who has a GPA of 3.0 and who is 25 years old. The multiple regression equation is ŷ = bo+b₁x₁ + b₂x2. c) Obtain the Coefficient of Determination (R²) from fitlm's output. Check LinearModel.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Script 1 % X is a 5 x 2 matrix 2 X= 3 y= 4 5% use fitlm 6 md1= 7 8 % be 9 bo= 10 11 % b1 12 b1= 13 Save C Reset 14 % b2 15 b2= 16 17 % Compute the student's predicted state board score 18 y predicted= 19 20 % Get the Coefficient of Determination 21 Rsq= 22 23 % Testing the significance of R to compute F-statistic 24 [p,F]= MATLAB Documentation Run Script
Transcribed Image Text:Script 1 % X is a 5 x 2 matrix 2 X= 3 y= 4 5% use fitlm 6 md1= 7 8 % be 9 bo= 10 11 % b1 12 b1= 13 Save C Reset 14 % b2 15 b2= 16 17 % Compute the student's predicted state board score 18 y predicted= 19 20 % Get the Coefficient of Determination 21 Rsq= 22 23 % Testing the significance of R to compute F-statistic 24 [p,F]= MATLAB Documentation Run Script
Multiple Linear Regression A nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. Student A B D E GPAX₁ 3.2 2.7 2.5 3.4 2.2 Age x₂ 22 27 24 28 23 State board score y 550 570 525 670 490 My Solutions > a) Refer to fitlm. From its output, determine the b0, b1, and b2. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitlm on MATLAB Answers. b) Predict a student's state board score who has a GPA of 3.0 and who is 25 years old. The multiple regression equation is y = bo+b₁x₁ + b2x2. c) Obtain the Coefficient of Determination (R²) from fitlm's output. Check LinearModel. d) Obtain the F-statistic using coefTest. Its value must be the same as that of fitlm with some discrepancy due to rounding off.
Transcribed Image Text:Multiple Linear Regression A nursing instructor wishes to see whether a student's grade point average and age are related to the student's score on the state board nursing examination. She selects five students and obtains the following data. Student A B D E GPAX₁ 3.2 2.7 2.5 3.4 2.2 Age x₂ 22 27 24 28 23 State board score y 550 570 525 670 490 My Solutions > a) Refer to fitlm. From its output, determine the b0, b1, and b2. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitlm on MATLAB Answers. b) Predict a student's state board score who has a GPA of 3.0 and who is 25 years old. The multiple regression equation is y = bo+b₁x₁ + b2x2. c) Obtain the Coefficient of Determination (R²) from fitlm's output. Check LinearModel. d) Obtain the F-statistic using coefTest. Its value must be the same as that of fitlm with some discrepancy due to rounding off.
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