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For the model y, = B₁ + B₁x, + ε₁ ; ɛ, ~ N(0,2), the following statistics are computed: 9 x₁ =0 9 y₁ = 0 i=1 x=324 i=1 =324 i=1 Στιν x,y,243 (a) Compute the least squares estimates, B. and B (b) Compute SSE, SST, and R2 (c) Compute a 95% confidence interval for B (d) Use the confidence interval method and test the following hypothesis test (a=0.05) Ho B₁ =0 H₁: B₁ = 0

For the model y, = B₁ + B₁x, + ε₁ ; ɛ, ~ N(0,2), the following statistics are computed: 9 x₁ =0 9 y₁ = 0 i=1 x=324 i=1 =324 i=1 Στιν x,y,243 (a) Compute the least squares estimates, B. and B (b) Compute SSE, SST, and R2 (c) Compute a 95% confidence interval for B (d) Use the confidence interval method and test the following hypothesis test (a=0.05) Ho B₁ =0 H₁: B₁ = 0

MATLAB: An Introduction with Applications
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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For the model y, = B₁ + B₁x, + ε₁ ; ɛ, ~ N(0,2), the following statistics are computed: 9 x₁ =0 9 y₁ = 0 i=1 x=324 i=1 =324 i=1 Στιν x,y,243 (a) Compute the least squares estimates, B. and B (b) Compute SSE, SST, and R2 (c) Compute a 95% confidence interval for B (d) Use the confidence interval method and test the following hypothesis test (a=0.05) Ho B₁ =0 H₁: B₁ = 0
Transcribed Image Text:For the model y, = B₁ + B₁x, + ε₁ ; ɛ, ~ N(0,2), the following statistics are computed: 9 x₁ =0 9 y₁ = 0 i=1 x=324 i=1 =324 i=1 Στιν x,y,243 (a) Compute the least squares estimates, B. and B (b) Compute SSE, SST, and R2 (c) Compute a 95% confidence interval for B (d) Use the confidence interval method and test the following hypothesis test (a=0.05) Ho B₁ =0 H₁: B₁ = 0
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