A regression study was done for 20 cities with latitude and average May temperature as the explanatory variable and response variable respectively. The latitude is ranged from 26 to 47 degrees and the average May temperature is measured in degrees Fahrenheit. Given that the regression equation is ?̂ = 49.4 − 0.313?.(i) Find the proportion of variation that explained by the average May temperature if the total sum of squares and the error sum of squares are 4436.6 and 1185.8 respectively.(ii) By using suitable coefficient(s), comment on the strength of the relationship between the latitude and the average May temperature. A regression study was done for 20 cities with latitude and average Maytemperature as the explanatory variable and response variable respectively. Thelatitude is ranged from 26 to 47 degrees and the average May temperature ismeasured in degrees Fahrenheit. Given that the regression equation is ŷ =49.4 – 0.313x.(i)Find the proportion of variation that explained by the average Maytemperature if the total sum of squares and the error sum of squares are4436.6 and 1185.8 respectively.By using suitable coefficient(s), comment on the strength of therelationship between the latitude and the average May temperature.(ii)

i) From the given information, the regression line is, y^=49.4-0.313x Here, latitude is the…

Answered: A regression study was done for 20…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

A regression study was done for 20 cities with latitude and average May
temperature as the explanatory variable and response variable respectively. The latitude is ranged from 26 to 47 degrees and the average May temperature is measured in degrees Fahrenheit. Given that the regression equation is ?̂ = 49.4 − 0.313?.

(i) Find the proportion of variation that explained by the average May
temperature if the total sum of squares and the error sum of squares are
4436.6 and 1185.8 respectively.

(ii) By using suitable coefficient(s), comment on the strength of the
relationship between the latitude and the average May temperature.