Review the table of values. x y 1 10 4 5 5 3.5 7 2 10 1.5 Which description best fits the regression model for the data? power model; y = 10.15x–0.68 exponential model; y = 12.80(0.78)x logarithmic model; y = 9.98 – 3.85 ln x quadratic model; y = 0.13x2 – 2.38x + 12.27
Review the table of values. x y 1 10 4 5 5 3.5 7 2 10 1.5 Which description best fits the regression model for the data? power model; y = 10.15x–0.68 exponential model; y = 12.80(0.78)x logarithmic model; y = 9.98 – 3.85 ln x quadratic model; y = 0.13x2 – 2.38x + 12.27
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
Review the table of values.
|
x |
y |
|
1 |
10 |
|
4 |
5 |
|
5 |
3.5 |
|
7 |
2 |
|
10 |
1.5 |
Which description best fits the regression model for the data?
power model; y = 10.15x–0.68
exponential model; y = 12.80(0.78)x
logarithmic model; y = 9.98 – 3.85 ln x
quadratic model; y = 0.13x2 – 2.38x + 12.27
Expert Solution
Step 1
We know that Regression works with the Principal of Least Squares. i.e.
Minimising Sum of Squares of deviation from the actual values from the estimated ones. i.e. Error E
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