a. Construct a scatterplot for Life Expectancy as a response to People/TV, where People/TV is the explanatory variable. What does the scatter plot suggest about the linear correlation between Life Expectancy and People/TV? People/TV and Life Expectancy Life Expectancy O 100 200 300 400 500 600 People/TV b. Add the line to your scatter plot using RStudio and the function abline(). See page 4 of project or R user guide in Blackboard as a reference c. What is the regression line [ y=bx+a ] for People/TV? Use contextual variables. d. What is the slope and explain what it means in context. Does the y-intercept make sense? e. What is the correlation coefficient for People/TV and Life Expectancy? Is there a strong, moderate, or weak linear relationship between Life Expectancy and People/TV? Explain why the relationship is moderate, strong, or weak. Give possible explanations to support your results in the context of this problem. f. Calculate and interpret (in the context of the data) the value of the coefficient of determination. I1. People/physician and Life Expectancy a. Construct a scatterplot for Life Expectancy as a response to People/physician, where People/physician is the explanatory variable. What does the scatter plot suggest about the linear correlation between Life Expectancy and People/physician? b. Add the line to your scatter plot using RStudio and the function abline(). c. What is the regression line [ y=bx +a ] for People/physician? Use contextual variables. d. What is the slope and explain what it means in context. Does the y-intercept make sense