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?

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  1. 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

 

  1. 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?
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%
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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