Write the equation of the regression line. You can round your numbers to two decimal places. The regression equation is Life Expectancy y = 77.82 - 0.277 Infant Mortality Rate Based on the regression equation, if a country's infant mortality rate increased by 1 (death per 1000 births), what numerical change would you expect in that country's life expectancy?
Write the equation of the regression line. You can round your numbers to two decimal places. The regression equation is Life Expectancy y = 77.82 - 0.277 Infant Mortality Rate Based on the regression equation, if a country's infant mortality rate increased by 1 (death per 1000 births), what numerical change would you expect in that country's life expectancy?
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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- Write the equation of the regression line. You can round your numbers to two decimal places.
The regression equation is
Life Expectancy y = 77.82 - 0.277 Infant Mortality Rate
- Based on the regression equation, if a country's infant mortality rate increased by 1 (death per 1000 births), what numerical change would you expect in that country's life expectancy?

Transcribed Image Text:Life Expectancy
80
70
50
40
0
Fitted Line Plot
Life Expectancy = 77.82 - 0.2769 Infant Mortality Rate
20
40
60
80 100
Infant Mortality Rate
120
140
160
S
R-Sq
R-Sq(adj)
7.04274
62.1%
61.5%
Expert Solution

Introduction
The relationship between the independent and dependent variable explained using the regression analysis. It has two regression coefficients, they are slope and intercept value. Slope explain the changes occur in the response variable as one unit increase in explanatory variable. Y intercept is the constant value.
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