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The manager of a manufacturing company believes that experience is the most valuable variable in determining a worker's productivity. She collects data on productivity of 10 workers with known number of years of experience. The data collected are given bellow.

Experience, X:	15	15	13	20	13	20	11	5	15	11
Productivity %, Y:	116	128	116	130	106	120	124	111	129	105

a) Fit a linear regression model to these data

b) Determine the coefficient of determination R^2

c) Determine the estimate of the error variance

d) Find a 95% confidence interval for the regression parameter B1 and use this confidence interval to test the hypothesis H0: B1=0 versus H1: B cannot equal 0. What is the level of significance for the test?

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Statistics and Probability, Statistics

Category:- Statistics and Probability
Reference No.:- M9986983

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