In fitting a least square line to n = 10 data points, the following quantities were computed: SSxx = 32, x = 3, SSyy = 26, = 4, SSxy= 28. A 95% prediction interval for y when xp = 4 is ____. 3.5625 +1.062 O 3.5625 +.3279 O 4.875 +1.062 O 4.875 +.3279
In fitting a least square line to n = 10 data points, the following quantities were computed: SSxx = 32, x = 3, SSyy = 26, = 4, SSxy= 28. A 95% prediction interval for y when xp = 4 is ____. 3.5625 +1.062 O 3.5625 +.3279 O 4.875 +1.062 O 4.875 +.3279
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![In fitting a least square line to n = 10 data points, the following quantities were computed: SSxx = 32, x = 3, SSyy = 26, y = 4, SSxy= 28. A
95% prediction interval for y when xp=4 is ____.
3.5625 ± 1.062
3.5625 +.3279
4.875 +1.062
4.875+.3279](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1ec03b98-6d00-494c-a17c-e96f94871116%2Fbcf1facb-150e-4f69-85a5-dc96432d3d42%2Foavg2qk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In fitting a least square line to n = 10 data points, the following quantities were computed: SSxx = 32, x = 3, SSyy = 26, y = 4, SSxy= 28. A
95% prediction interval for y when xp=4 is ____.
3.5625 ± 1.062
3.5625 +.3279
4.875 +1.062
4.875+.3279
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