or graded. A simple linear regression analysis for n = 20 data points produced the following results: ŷ = 2.1 + 3.4x x = 2.5 y = 10.6 SSXX = 4.77 SSyy = 59.21 SSxy = 16.22 1. Find SSE, the sum of squares of residuals. SSE= SSyy- XSSxy 2. Find s, the estimated standard error of the regression model. s2 =SSE÷ and then taking square root will give s = 3. Find a 95% confidence interval for E(y) when x = 2.5. Xs.e.

or graded. A simple linear regression analysis for n = 20 data points produced the following results: ŷ = 2.1 + 3.4x x = 2.5 y = 10.6 SSXX = 4.77 SSyy = 59.21 SSxy = 16.22 1. Find SSE, the sum of squares of residuals. SSE= SSyy- XSSxy 2. Find s, the estimated standard error of the regression model. s2 =SSE÷ and then taking square root will give s = 3. Find a 95% confidence interval for E(y) when x = 2.5. Xs.e.

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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