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
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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
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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