11. Find equation of a multivariable linear regression model for the following data x = [1, 2, 3, 4, 5, 6, 7] y = [6.98, 11.31, 14.77, 18.00, 23.04, 26.30, 31.53] z = [ 1.40, 3.78, 4.41, 4.60, 8.40, 8.64, 12.81]. Oz = -6.3(x + y) + 2 O z= -3.6(x + y) + 4 z = (x + y) +2 Oz = 3.6(x - y) - 4 z = 6.3(x - y) - 2 12. How well the data fits model from question 11? 90.9% E
11. Find equation of a multivariable linear regression model for the following data x = [1, 2, 3, 4, 5, 6, 7] y = [6.98, 11.31, 14.77, 18.00, 23.04, 26.30, 31.53] z = [ 1.40, 3.78, 4.41, 4.60, 8.40, 8.64, 12.81]. Oz = -6.3(x + y) + 2 O z= -3.6(x + y) + 4 z = (x + y) +2 Oz = 3.6(x - y) - 4 z = 6.3(x - y) - 2 12. How well the data fits model from question 11? 90.9% E
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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Question
![11. Find equation of a multivariable linear regression model for the following data:
x = [1,
2,
3,
4, 5, 6, 7]
y = [6.98, 11.31, 14.77, 18.00, 23.04, 26.30, 31.53]
z = [ 1.40, 3.78,
4.41, 4.60, 8.40, 8.64, 12.81].
z = -6.3(x + y) + 2
O z = -3.6(x + y) + 4
z = (x + y) +2
z = 3.6(x - y) - 4
z = 6.3(x - y) - 2
12. How well the data fits model from question 11?
90.9%
92.9%
95.9%
97.9%
CS Scanned with CamScanner
अ](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff8c67d92-2376-430d-971a-91f6c41cd4dc%2F62437cea-18e6-48b2-aa87-d258eadfd87c%2Fgs8fjtr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:11. Find equation of a multivariable linear regression model for the following data:
x = [1,
2,
3,
4, 5, 6, 7]
y = [6.98, 11.31, 14.77, 18.00, 23.04, 26.30, 31.53]
z = [ 1.40, 3.78,
4.41, 4.60, 8.40, 8.64, 12.81].
z = -6.3(x + y) + 2
O z = -3.6(x + y) + 4
z = (x + y) +2
z = 3.6(x - y) - 4
z = 6.3(x - y) - 2
12. How well the data fits model from question 11?
90.9%
92.9%
95.9%
97.9%
CS Scanned with CamScanner
अ
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