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Regression Example Suppose you want to predict your average HC/LO score across your next day of classes based on whether you got more or less sleep than your usual 8 hours. You decide to make a regression model b = C + Mt, where b is the output, C and M are the coefficients of your model (what you need to find), and t is the number of hours above (or below for negative values) 8 hours of sleep. You feel lazy and only take five measurements: Hours of sleep above/below 8 (t) Mean HC/LO score (b) -4 1

Regression Example Suppose you want to predict your average HC/LO score across your next day of classes based on whether you got more or less sleep than your usual 8 hours. You decide to make a regression model b = C + Mt, where b is the output, C and M are the coefficients of your model (what you need to find), and t is the number of hours above (or below for negative values) 8 hours of sleep. You feel lazy and only take five measurements: Hours of sleep above/below 8 (t) Mean HC/LO score (b) -4 1

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
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Part D needed in 30 minutes Please solve this question correctly in 30 minutes Please don't back it give me Proper solution please
(d) Regression Example Suppose you want to predict your average HC/LO score across your next day of classes based on whether you got more or less sleep than your usual 8 hours. You decide to make a regression model b = C+Mt, where b is the output, C and M are the coefficients of your model (what you need to find), and t is the number of hours above (or below for negative values) 8 hours of sleep. You feel lazy and only take five measurements: Hours of sleep above/below 8 (t) Mean HC/LO score (b) 1 3 4 3 2 -4 -1 1 3 4 i. Inputting the above into the formula for our linear model gives us a system of five equations and two unknowns - C and M. Write out this system explicitly, then describe it as the matrix equation Ax = b, where x = M What are A and 6? ]. ii. Demonstrate that the system is inconsistent and that the columns of A are independent. iii. Use the techniques from above to solve for â.
Transcribed Image Text:(d) Regression Example Suppose you want to predict your average HC/LO score across your next day of classes based on whether you got more or less sleep than your usual 8 hours. You decide to make a regression model b = C+Mt, where b is the output, C and M are the coefficients of your model (what you need to find), and t is the number of hours above (or below for negative values) 8 hours of sleep. You feel lazy and only take five measurements: Hours of sleep above/below 8 (t) Mean HC/LO score (b) 1 3 4 3 2 -4 -1 1 3 4 i. Inputting the above into the formula for our linear model gives us a system of five equations and two unknowns - C and M. Write out this system explicitly, then describe it as the matrix equation Ax = b, where x = M What are A and 6? ]. ii. Demonstrate that the system is inconsistent and that the columns of A are independent. iii. Use the techniques from above to solve for â.
(a) Let A = 1 0 01 00 +-· =
Transcribed Image Text:(a) Let A = 1 0 01 00 +-· =
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