2.Which of the following is the best remedy for the non-constant variance of the error term?

Select one:

a. Transformation of the dependent variable

b. Elimination of duplicate variables

c. Developing a model with a sound basis

d. Addition of a time trend variable

e. All of the above are possible remedies for non-constant error variance

3.

The following is a portion of quarterly time-series data on weekly gasoline consumption percapita that was used to estimate the trend line and seasonally averaged ratios: Year Quarter Period Gasoline 2005 First 18.7 Second 16.9 Third A CO N 16.7 Fourth 17.9 2006 First 18.2 Second 18.8 Third 19.7 Fourth 18.1 2007 First 9 16.9 Second 10 17.9 Third 11 17.2 Fourth 12 16.6 The trend line for the data is Y, = 18.17 - 0.06t The seasonal averaged ratios are 1.10, 1.10, 1.20, and 0.85 respectively. What is the deseasonalized value for the second quarter of 2007? Select one: O a. 17.048 O b. 17.290 O c. 18.532 O d. 17.900 O e. 16.273You are employed by the Indiana Pacers to model attendance at their regular season basketball games. Paid attendance is your dependent variable, and you employ a variety of independent variables: the Pacers' current winning percentage (WINPCT), their opponents current winning percentage (VISPCT), the number of all-star votes received by the visiting team, in millions (ALLSTAR), the fraction of minutes played by foreign players on the visiting team (FOREIGN), and the number of home games for the Pacers in the next week (NEXTWEEK). Your regression output is presented below. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 164 ANOVA df SS MS F Regression 46772032 9354406 15.458 Residual 95614595 605155.7 Total 142386627 Coefficients Standard Error t Stat P-value Intercept 12300.869 357.106 34.446 2.32E-75 WINPCT 1966.862 580.215 3.390 0.000883 VISPCT 1477.604 359.496 4.110 6.33E-05 ALLSTAR 769.433 112.472 6.841 1.63E-10 FOREIGN -503.472 0.085374 NEXTWEEK -150.563 60.396 -2.493 0.013700 What is the value of the standard error of the estimate