ne equation of the least squares regression line is 2.3256 and the sum of squared residuals för this line is 0.7907. Answer parts (a)-(d).- 7 12 14 a) Predict the mean value of y if x= 4. = (Round to one decimal place as needed.) b) Construct a 95% confidence interval about the mean value of y if x= 4. Lower Bound Upper Bound Round to one decimal place as needed.) c) Predict the value of y if x= 4. = (Round to one decimal place as needed.)

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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a,b,c

The equation of the least squares regression line is y = 2.0233x - 2.3256 and the sum of squared residuals for this line is 0.7907. Answer parts (a)-(d).
13
4
X
4
5
7
8
y
6
12
14
(a) Predict the mean value of y if x= 4.
y = (Round to one decimal place as needed.)
(b) Construct a 95% confidence interval about the mean value of y if x = 4.
Lower Bound
Upper Bound
(Round to one decimal place as needed.)
(c) Predict the value of y if x= 4.
y = (Round to one decimal place as needed.)
(d) Construct a 95% prediction interval about the value of y if x= 4.
Lower Bound
Upper Bound
(Round to one decimal place as needed.)
모모
Transcribed Image Text:The equation of the least squares regression line is y = 2.0233x - 2.3256 and the sum of squared residuals for this line is 0.7907. Answer parts (a)-(d). 13 4 X 4 5 7 8 y 6 12 14 (a) Predict the mean value of y if x= 4. y = (Round to one decimal place as needed.) (b) Construct a 95% confidence interval about the mean value of y if x = 4. Lower Bound Upper Bound (Round to one decimal place as needed.) (c) Predict the value of y if x= 4. y = (Round to one decimal place as needed.) (d) Construct a 95% prediction interval about the value of y if x= 4. Lower Bound Upper Bound (Round to one decimal place as needed.) 모모
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