(a) Fit a simple linear regression model to these data. Check if the residual plots give any reason to doubt the usual assumptions of the model.(b) Write a short report giving your conclusions. You do not need to upload the output from R. Include a possible interpretation of the intercept and slope parameters. A fire insurance company wants to relate the amount of fire damage in major residentialfires to the distance between the residence and the nearest fire station. The study wasconducted in a large suburb of a major city; a sample of fifteen recent fires in the suburbwas selected. The amount of damage, y (£000), and the distance, x (km), between thefire and the nearest fire station are given in the following table.3.41.84.62.33.15.50.73.0y 26.217.8 31.3 23.127.536.014.122.32.64.32.11.16.14.83.819.6 31.3 24.0 17.3 43.236.4 26.1

Regression Equation = ŷ = bX + a

A fire insurance company wants to relate the amount of fire damage in r fires to the distance between the residence and the nearest fire station. conducted in a large suburb of a major city; a sample of fifteen recent fir was selected. The amount of damage, y (£000), and the distance, x (k fire and the nearest fire station are given in the following table.

A fire insurance company wants to relate the amount of fire damage in r fires to the distance between the residence and the nearest fire station. conducted in a large suburb of a major city; a sample of fifteen recent fir was selected. The amount of damage, y (£000), and the distance, x (k fire and the nearest fire station are given in the following table.

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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