Consider the following linear relationship Y = Bo + B,X + e: Y is the adults' weekly number of hours spent watching TV, and X is a person's age beyond 18 years. Number of observations n=25, SS,-4434, SS»-5512, SS„=6840, E X = 475, and EY = 700 a.Estimate the unknown parameters using the method of OLS and find the least-squares prediction equation. b.Interpret the slope parameter. Is there a meaningful interpretation for the intercept parameter? Explain. c. Calculate SSE, R2, and the standard error of the residuals (S). Interpret the R. d. Predict the average number of hours spent watching TV for people who are 35 years old (Xp=17). Construct and interpret a 90% confidence interval for your prediction. 0. Calculate the coeficient of correlation and explain how it is different from R.
Consider the following linear relationship Y = Bo + B,X + e: Y is the adults' weekly number of hours spent watching TV, and X is a person's age beyond 18 years. Number of observations n=25, SS,-4434, SS»-5512, SS„=6840, E X = 475, and EY = 700 a.Estimate the unknown parameters using the method of OLS and find the least-squares prediction equation. b.Interpret the slope parameter. Is there a meaningful interpretation for the intercept parameter? Explain. c. Calculate SSE, R2, and the standard error of the residuals (S). Interpret the R. d. Predict the average number of hours spent watching TV for people who are 35 years old (Xp=17). Construct and interpret a 90% confidence interval for your prediction. 0. Calculate the coeficient of correlation and explain how it is different from R.
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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Transcribed Image Text:Consider the following linear relationship Y = Bo + BiX + ɛ: Y is the adults' weekly number of
hours spent watching TV, and X is a person's age beyond 18 years.
Number of observations n=25, Sy=-4434, S.„=5512, SS,=6840, E X = 475, and EY = 700
a.Estimate the unknown parameters using the method of OLS and find the least-squares prediction
equation.
b.Interpret the slope parameter. Is there a meaningful interpretation for the intercept parameter? Explain.
c. Calculate SSE, R2, and the standard error of the residuals (S). Interpret the R.
d. Predict the average number of hours spent watching TV for people who are 35 years old (Xp=17).
Construct and interpret a 90% confidence interval for your prediction.
e. Calculate the coefficient of correlation and explain how it is different from R.
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