Use the table to calculate the 95 % prediction interval for y at ro = 20y144.20206.27288.33Regression Equation: y = 3.6a + 3.866667DegreesofFreedomStandard ErrorMargin of ErrorPrediction Intervalfor y(Ey²) – b-() – m(Ery)n(ro – 7)S. =E = t · Se1+ý - E ΣΣDegreesofFreedomPredíction IntervalStandard ErrorMargin of Errorfor yn(zo - 2)(Ey²) - 6 (Ey) – m(Ery)n - 211+E = te S.n- 2 ý - E < y<ŷ +ES. =a. Standard Error S. =(3 decimal places)b. Mean i =c. Critical Value te=(use 4 decimal places)Round the following to 3 decimplacesd. Margin of Error E-ande. The 95% prediction interval for the value of y at zo = 20 is between

Regression : Linear Regression analysis is used to measure the association (or) linear relationship…

a. Standard Error S. = (3 decimal places) b. Mean i = c. Critical Value t.- (use 4 decimal places) Round the following to 3 decimal places d. Margin of Error E- and e. The 95% prediction interval for the value of y at zo = 20 is between

a. Standard Error S. = (3 decimal places) b. Mean i = c. Critical Value t.- (use 4 decimal places) Round the following to 3 decimal places d. Margin of Error E- and e. The 95% prediction interval for the value of y at zo = 20 is between

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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