After collecting data over two years for every one of the 162 home games of the combined 2000 and 2001 seasons, you run the following regression:
Attend = 15,005 + 201*Temperat + 465*DodgNetWin + 82*OppNetWin
(8,770) (121) (169) (26) + 9647*DFSaSu + 1328*Drain + 1609*D150m + 271*Ddiv -978*D2001;
(1505) (3355) (1819) (1,184) (1,143)
R2=0.416, SER = 6,983
where Attend is announced stadium attendance, Temperat it the average temperature on game day, DodgNetWin are the net wins of the Dodgers before the game (wins-losses), OppNetWin is the opposing team's net wins at the end of the previous season, and DFSaSu, Drain, D150m,Ddiv, and D2001 are binary variables, taking a value of 1 if the game was played on a weekend,if it rained during that day, if the opposing team was within a 150 mile radius, if the opposing team plays in the same division as the Dodgers, and if the game was played during 2001, respectively. Numbers in parentheses are heteroskedasticity- robust standard errors.
Question:
test the null hypothesis that coefficients on the variables DodgNetWin and OppNetWin are equal. Describe two ways in which you could test that hypothesis. Be specific about your test statistic and the critical values when you use a significance level of 5%. Of course, since you do not have these data, you cannot perform this test, but you can describe the steps you would take.