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. 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 a. State which of the given variables is the outcome variable. b. Provide a scatterplot for the objective of interest, and state if a linear regression model would be suitable for this data. C. Perform the linear regression modeling. Provide the fitted model equation and interpret the intercept and slope in the given context. d. Using this fit, estimate the expected number of deaths if the Yearly consumption is 2.9 litres. e. From linear regression fit, interpret r and R- f. State if the fitted linear model is adequate. Provide justifications to support your