A weather forecaster examines the weather patterns in a random sample of cities in order to better understand how the number of days of rain a city gets per year is related to the number of hours of sunshine that city gets per year.The regression equation to predict hours of sunshine based on days of rain is as follows: Predicted hours of sunshine = 2847 – 6.88(days of rain). From this regression equation, we know that r, or the correlation between days of rain and hours of sunshine, must be weakstrongpositivenegativenon-linear.

It is given that The regression equation is Predicted hours of sunshine = 2847 – 6.88(days of rain)

Answered: From this regression equation, we know…

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A weather forecaster examines the weather patterns in a random sample of cities in order to better understand how the number of days of rain a city gets per year is related to the number of hours of sunshine that city gets per year.The regression equation to predict hours of sunshine based on days of rain is as follows:

Predicted hours of sunshine = 2847 – 6.88(days of rain).

From this regression equation, we know that r, or the correlation between days of rain and hours of sunshine, must be