8b)  A researcher aims to assess the associative impact of coffee consumption on death rates from heart diseases. For this objective the researcher collects data from 10 countries and intends to use methods of regression. The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of 10 countries. d) Using the fitted model equation from the siple quadratic regression modeling in R software, estimate the expected number of deaths if the Yearly consumption is 2.9 litres. e) From simple quadratic regression fit done in R software, interpret R^2. f) State if the fitted quadratic model is adequate. Provide justifications to support your answer. Kindly show the R software commands used and type out the answer.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 51RE
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8b) 

A researcher aims to assess the associative impact of coffee consumption on death rates from heart diseases. For this objective the researcher collects data from 10 countries and intends to use methods of regression. The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of 10 countries.

d) Using the fitted model equation from the siple quadratic regression modeling in R software, estimate the expected number of deaths if the Yearly consumption is 2.9 litres.

e) From simple quadratic regression fit done in R software, interpret R^2.

f) State if the fitted quadratic model is adequate. Provide justifications to support your answer.

Kindly show the R software commands used and type out the answer.

Yearly coffee consumption in litres 2.5 3.9 2.9 2.4 2.9 0.8 9.1 2.7 0.8 0.7
Death from heart diseases
221 167 131 191 220 297 71 172 211 300
Transcribed Image Text:Yearly coffee consumption in litres 2.5 3.9 2.9 2.4 2.9 0.8 9.1 2.7 0.8 0.7 Death from heart diseases 221 167 131 191 220 297 71 172 211 300
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