Problem 6. Our next attempt is a simple linear regression model using Income (in thousands of dollars) as the only predictor. Use the Parameter Estimates table (below) to answer all parts. Parameter Estimates Variable t Value Pr > Parameter Estimate Standard Error 655.641 11.9676 54.7847 (Intercept) 1.81476e-77 1.81123 0.188148 9.62660 5.46340e-16 Income A. Write the equation used by this model to predict median school API from Income. t] Name three plots that we should look at to determine whether model assumptions are met. Construct (don't interpret) a 95% confidence interval for the population slope of the model Predict the median school API for a neighborhood in which the median income is $40,000. D. E.With a margin of error 92.20867 and given these values and your answer to part D, construct and interpret a 90% prediction interval for the median school API in a neighborhood whose median income is $40,000
Problem 6. Our next attempt is a simple linear regression model using Income (in thousands of dollars) as the only predictor. Use the Parameter Estimates table (below) to answer all parts. Parameter Estimates Variable t Value Pr > Parameter Estimate Standard Error 655.641 11.9676 54.7847 (Intercept) 1.81476e-77 1.81123 0.188148 9.62660 5.46340e-16 Income A. Write the equation used by this model to predict median school API from Income. t] Name three plots that we should look at to determine whether model assumptions are met. Construct (don't interpret) a 95% confidence interval for the population slope of the model Predict the median school API for a neighborhood in which the median income is $40,000. D. E.With a margin of error 92.20867 and given these values and your answer to part D, construct and interpret a 90% prediction interval for the median school API in a neighborhood whose median income is $40,000
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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