(b) For a given 10 observations on price (X) and score (Y) the following data wereobtainedSSE = 1085.903, EX2= 469.48, X= 68, EY= 24704, EY = 464 and EXY = 3276.8i. Develop an estimated regression equation that can be used to predict scoregiven the priceii. How good is the estimated model's prediction power?ii.(c) A company studied the number of lost-time accidents occurring at its NairobiIndustrial Area, plant. Historical records show that 6% of the employees sufferedlost-time accidents last year. Management believes that a special safety programwill reduce such accidents to 5% during the current year. In addition, it estimatesthat 15% of employees who had lost-time accidents last year will experience a losttime accident during the current year. What percentage of the employees will suffereither of the lost-time accident over the two-year period?

The slope is given by The intercept is given by The regression line is given by

(b) For a given 10 observations on price (X) and score (Y) the following data were obtained SSE = 1085.903, EX2=469.48, EX= 68, Y= 24704, EY = 464 and E %3D XY = 3276.8 Develop an estimated regression equation that can be used to predict score given the price ii. How good is the estimated model's prediction power? i. ii.

(b) For a given 10 observations on price (X) and score (Y) the following data were obtained SSE = 1085.903, EX2=469.48, EX= 68, Y= 24704, EY = 464 and E %3D XY = 3276.8 Develop an estimated regression equation that can be used to predict score given the price ii. How good is the estimated model's prediction power? i. ii.

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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