An R2 close to 1 A) does not happen with real data. B) ...

[ap345]

An R2 close to 1
 
  A) does not happen with real data.
  B) indicates that almost all of the variation in the dependent variable is explained by the regression.
  C) does not explain variation as well as an R2 that is above 2.
  D) means that the regression line does not fit the data very well.

Question 2

Joseph has the utility function U(F,H) = 10F2H, where F is the quantity of food he consumes per year and H is the quantity of housing per week. Suppose the price of food is 10 and the price of housing is 5, while Joseph has an income of 150/week.
 
  a. Calculate Joseph's MRS as a function of the quantities F and H.
  b. Write out Joseph's constrained optimization problem with the information provide
  d.
  c. Using the substitution method, solve for Joseph's optimal consumption bundle of food and housing.
  d. Show that at the optimum, Joseph consumes the bundle along the budget constraint where MRS = MRT.

[covalentbond]

Answer to Question 1

B

Answer to Question 2

a. MRS = -2  10FH/10F2 = -2H/F.
b. max 10F2H subject to 10F + 5H = 150
c. Solve the BC for F = 15 - .5H. Substitute this function of F into the utility function to get the unconstrained maximization problem:
max 10(15-.5H)2H
The derivative is
10(15 - .5H)2 + 10  2(15 - .5H)(-.5)H = 0
Solving for H = 10. Plug H = 10 into the BC to get F = 10.
d. The MRS = -2H/F. At the optimal bundle from (c), MRS = -2. The MRT = -10/5 = -2. Hence the slope of the BC equals the slope of the IC at the optimal bundle.

[ap345]

Gracias!

[marict]

Great answer, keep it coming