Suppose that C = a + bY, where C = consumption, a = consumption at zero income, b = slope, and Y = income.                                                                   a. Are C and Y positively related or are they negatively related? b. If graphed, would the curve for this equation slope upward or slope downward? c. Are the variables C and Y inversely related or directly related? d. What is the value of C if a = 10, b = 0.50, and Y = 200? e. What is the value of Y if C = 100, a = 10, and b = 0.25?

1) In the IS equation why wasnt G in the calculations.   2)Suppose that with all exogenous variables, including T and M at their original values, households become less confident about the future and reduce their autonomous level of consumption from 200 to 150. Solve for the new values of e, Y and NX. With the help of graphs, explain very carefully the mechanisms by which a new equilibrium is reached.  3)Suppose that with all exogenous variables at their original values, the autonomous part of money demand increases to 70. Solve for the new values of e, Y and NX. With the help of graphs, explain very carefully the mechanisms by which a new equilibrium is reached.

Suppose that the least amount of goods and services that Jim will consume in a year is $40,000. Jim tends to save $0.30 of every dollar of disposable income that he makes. Use the given line to graph Jim's consumption function for disposable income levels between $0 and $200,000. Move each endpoint to the appropriate spot on the graph.

2. Question 2: Suppose that you estimate a model of the aggregate annual retail sales of new cars that specifies that sales of new cars are a function of real disposable income, the average retail price of a car adjusted by the consumer price index, and the number of sports utility vehicles sold (you decide to add this independent variable to take account of the fact that some potential new car buyers purchase sports utility vehicles instead). You use the data (annual from 2000 to 2014) and obtain the following estimated regression equation: CARS, = 1.32 + 4.91Y D; + 0.0012 PRICE, - 7.14 SUV (2.39) (0.00045) (71.40) 1 where CARS = new car sales (in hundreds of thousands of units) in year t, YD; = real disposable income (in hundreds of billions of dollars), PRICE = the average real price of a new car in yeart (in dollars), SUV = the number of sports utility vehicles sold in year t (in millions). You expect the variable YD to have a positive coefficient and the variables PRICE and SUV to…