QUESTION 14 Fill in the blanks below to find the equation for your line of best fit: y = bx + a so y = x +
QUESTION 14 Fill in the blanks below to find the equation for your line of best fit: y = bx + a so y = x +
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![QUESTION 15
Finally, we need to calculate our correlation coefficients (r or R) and our coefficient of determination (r2 or
R2) using the formula:
(E »)-(E »(E »)
Σ
Σ.
ху
y
r=
VE(E :?)-(E =}) («(E )-(E »)})
3).
As before, let's break it up into smaller steps to make this easier. Let's start by calculating the numerator by
filling in the 4 appropriate values from question 7. Note that this is the same calculation that you already
did in question 11:
"(E »)-(E »)(E »)
Σ
Σ
Σ
ху
(E »³)-
(Σ
x2
numerator
II](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13152412-1053-4d5a-b7e1-5d7247244fc5%2F9142b415-b533-4663-90b2-28daa373fa70%2F7vzqxa_processed.jpeg&w=3840&q=75)
Transcribed Image Text:QUESTION 15
Finally, we need to calculate our correlation coefficients (r or R) and our coefficient of determination (r2 or
R2) using the formula:
(E »)-(E »(E »)
Σ
Σ.
ху
y
r=
VE(E :?)-(E =}) («(E )-(E »)})
3).
As before, let's break it up into smaller steps to make this easier. Let's start by calculating the numerator by
filling in the 4 appropriate values from question 7. Note that this is the same calculation that you already
did in question 11:
"(E »)-(E »)(E »)
Σ
Σ
Σ
ху
(E »³)-
(Σ
x2
numerator
II
![QUESTION 14
Fill in the blanks below to find the equation for your line of best fit:
y = bx + a
so
y =
x +](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13152412-1053-4d5a-b7e1-5d7247244fc5%2F9142b415-b533-4663-90b2-28daa373fa70%2Fu8j0dq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:QUESTION 14
Fill in the blanks below to find the equation for your line of best fit:
y = bx + a
so
y =
x +
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