Economics

(See attached file for full problem description with proper equations and charts) --- 1) Consider the following model: Yi = Bo + B1Xi +B2D2i + B3D3i + ui Where Y = annual earnings of MBA graduates X = years of service D2 = 1 if Harvard MBA = 0 if otherwise D3 = 1 if Wharton MBA = 0 if otherwise a. What are the expected signs of the various coefficients? b. How would you interpret B2 and B3? c. If B2 > B3, what conclusion would you draw? 2. Table below gives data on after tax corporate profits and net corporate dividend payments ($, in billions) for the United States for the quarterly period of 1999:1 to 2003:3. a. Regress dividend payments (Y) on af... click for more

Insurance problem

A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of 20 households, the company collected the data in the file insur.xls. The data are in thousands of dollars. (a) Estimate a linear relationship between life insurance (Y) and income (X). (b) Discuss the relationship you estimated in (a). In particular: i. What is your estimate of the resulting change in the amount of life insurance when income increases by $1000? ii. What is the standard error of the estimate in (i), and how do you use this standard error for interval estimation and hypothesis testing? iii. ... click for more

Football Question

The catering company Thirst Quenchers has contracted to supply soda at the University of California (Golden Bears) football games. They suspect that the major factor influencing the quantity of soda consumed is the maximum temperature on the day of each game. The last three seasons have yielded the 18 observations of quantity of soda sold and maximum temperature (F) in the file football.xls. (a) Estimate the linear equation that relates the quantity of soda sold to the maximum temperature. (b) Is there evidence to suggest that increases in temperature increase the quantity of soda sold? (c) Construct a prediction and a 95% prediction interval for the amount of soda sold when the ma... click for more

Determining the existence of and overcoming possible problems of associated with heteroskedasticity

(See attached file for full problem description)

Estimation of regression coefficients, Durbin Watson Statistic, Serial correlation in Ordinary least square estimation

OLS estimates and coefficients. See attached file for full problem description. I need help solving question #2. Please provide me with detailed explanations for #2.