7a) 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 linear regression. The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of 10 countries. a) State which of the given variables is the outcome variable. b) Provide a scatterplot for the objective of interest using R, and state if a linear regression model would be suitable for this data. c) Perform the linear regression modeling using R. Provide the fitted model equation and interpret the intercept and slope in the given context.
7a) 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 linear regression. The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of 10 countries. a) State which of the given variables is the outcome variable. b) Provide a scatterplot for the objective of interest using R, and state if a linear regression model would be suitable for this data. c) Perform the linear regression modeling using R. Provide the fitted model equation and interpret the intercept and slope in the given context.
A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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7a)
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 linear regression. The following table shows data on average per capita coffee consumption and heart disease rate in a random sample of 10 countries.
a) State which of the given variables is the outcome variable.
b) Provide a scatterplot for the objective of interest using R, and state if a linear regression model would be suitable for this data.
c) Perform the linear regression modeling using R. Provide the fitted model equation and interpret the intercept and slope in the given context.

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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