mpute the error variance estimate s². (Round the final answer to five decimal places.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The following data were collected in an experiment to study the relationship between extrusion pressure (in KPa) and
wear (in mg).
X
y
150
10.4
175
12.4
200
225
250
275
14.9
15
13.9
11.9
The least-squares quadratic model is y=-32.44571429 +0.43154286x- 0.00098286x2.
mpute the error variance estimate s²2. (Round the final answer to five decimal places.)
Transcribed Image Text:Required information The following data were collected in an experiment to study the relationship between extrusion pressure (in KPa) and wear (in mg). X y 150 10.4 175 12.4 200 225 250 275 14.9 15 13.9 11.9 The least-squares quadratic model is y=-32.44571429 +0.43154286x- 0.00098286x2. mpute the error variance estimate s²2. (Round the final answer to five decimal places.)
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