Yi = ß₁ + ß₂ · xi +€i,V1≤ i ≤ 5,where ß,ß are unknown, {€;}5_₁ are independent and E[€;] = 0 and Var[e;] = 0² for all 1 ≤ i ≤ 5. Thedata {xi, Yi}_₁ are listed in the following table.i=1iXiYi1240131.08 2.19 2.95 3.8932Table 1: Data table.545.09Determine the following using the data in the table.1. The least square estimator 3₁, 32 for the true unknown parameters ß,ß.2. Construct an unbiased estimator for o². 5Suppose data {xi, Yi}{_1 are generated by the model

The given data set is:i12345xi01234yi1.082.192.953.895.09The regression equation is given as:…

Answered: i≤ 5, Yi = ₁ + ₂ xi +€i, where , are…

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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A 7. The analyst in the Dorben Company made 10 independent time studies in the hand paint- spraying section of the finishing department. The product line under study revealed a direct relation between spraying time and product surface area. The following data were collected. Study No. 1 2 3 4 5 6 8 9 10 Surface Area 170 12 150 41 130 50 70 105 95 (sq. inches) Standard Time (hours) 0.32 0.11 0.31 0.14 0.27 0.18 7 120 0.24 0.23 0.25 (7a) Compute the slope and intercept constant using regression line equations. (7b) What is the correlation coefficient? (7c) How much spray time would you allow for a new part with a surface area of 250 sq. inches? 0.22

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