3:26 1. Consider the following 4 observations. a) Fill in the table. 1 Expert Q&A 6 (x-x bar) (y-y bar) C'D C^2 yhat Done error
3:26 1. Consider the following 4 observations. a) Fill in the table. 1 Expert Q&A 6 (x-x bar) (y-y bar) C'D C^2 yhat Done error
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
Please solve 1 and 2, thanks!

Transcribed Image Text:3:26
1. Consider the following 4 observations. a) Fill in the table.
X
1
2
3
4
Eyi=
x bar (mean x)=
y bar (mean y)=
y
6
4
12
10
(i.e. Find ₁ and ₂).
Expert Q&A
b. Interpret the bs.
(x-x bar) (y-y bar) C D
b. Use the table above to find the best coefficients for the following regression:
y =B₁ + B₂ x
C^2
2. Using the data above:
yhat
c. plot the data and the estimated linear regression (on the same graph)
c. Obtain the residuals for each observation and show that Exe, is indeed zero.
a. Find B₂ if we run the regression without intercept.
b. Show (x,y) is not on the regression line.
Done
error
Expert Solution

Step 1
x | y |
1 | 6 |
2 | 4 |
3 | 12 |
4 | 10 |
The linear model is y = a+bx
The normal equations for solving the coefficients of the linear model are given as follows:
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