Consider the following annual model of the death rate (per million population) due to coronary heart disease in the United States (y t ) : a. Create and test appropriate hypotheses at the 10-percent...

Consider the following annual model of the death rate (per million population) due to coronary heart disease in the United States (y_t) :

a. Create and test appropriate hypotheses at the 10-percent level. What, if anything, seems to be wrong with the estimated coefficient of M? b. The most likely cause of a coefficient that is significant in the unexpected direction is omitted variable bias. Which of the following variables could possibly be an omitted variable that is causing
 unexpected sign? Explain. (Hint: Be sure to analyze expected bias in your explanation.) B_t
= per capita consumption of hard liquor (gallons) in year t F_t
= the average fat content (percentage) of the meat that was consumed in year t W_t
= per capita consumption of wine and beer (gallons) in year t R_t
= per capita number of miles run in year t H_t
= per capita open-heart surgeries in year t O_t
= per capita amount of oat bran eaten in year t c. If you had to choose a variable not listed in part b to add to the equation, what would it be? Explain your answer.