Test if effect of the four binary variables is significant


After collecting data over two years for every one of the 162 LA Dodgers home games of the combined 2000 and 2001 seasons, you run the following regression:

Attend = 15,005+ 201*Temperat+ 465*DodgNetWin + 92*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.

To test whether the effect of the last four binary variables is significant, you have your regression program calculate the relevant F-statistic, which is 0.295. What is the null hypothesis of test you run and what is the critical value? Would you reject the null?

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Basic Statistics: Test if effect of the four binary variables is significant
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