In the article “The Effect of Promotion Timing on Major League Baseball Attendance” (Sport Marketing Quarterly, December 1999), T. C. Boyd and T. C. Krehbiel use data from six major league baseball teams having outdoor stadiums to study the effect of promotion timing on major league baseball attendance. One of their regression models describes game attendance in 1996 as follows ( p- values less than .10 are shown in parentheses under the appropriate independent variables):
In this model, Temperature is the high temperature recorded in the city on game day; Winning % is the home team’s winning percentage at the start of the game; OpWin % is a dummy variable that equals 1 if the opponent’s winning percentage was .500 or higher and 0 otherwise; DayGame is a dummy variable that equals 1 if the game was a day game and 0 otherwise; Weekend is a dummy variable that equals 1 if the game was on a Friday, Saturday, or Sunday and 0 otherwise; Rival is a dummy variable that equals 1 if the opponent was a rival and 0 otherwise; Promotion is a dummy variable that equals 1 if the home team ran a promotion during the game and 0 otherwise. Using the model, which is based on 475 games and has an R2 of .6221, Boyd and Krehbiel conclude that “promotions run during day games and on weekdays are likely to result in greater attendance increases.” Carefully explain why the following part of their model justifies this conclusion: 5,059 Promo* DayGame 4,690 Promo* Weekend.
Answer to relevant QuestionsClassify each of the following qualitative variables as ordinal or nominative. Explain your answers. Qualitative Variable Categories Statistics course letter grade.... A B C D F Door choice on Let’s Make A ...On January 11, 2005, the Gallup Organization released the results of a poll investigating how many Americans have private health insurance. The results showed that among Americans making less than $ 30,000 per year, 33% had ...a. Construct a relative frequency distribution and a percent frequency distribution for the bottle design ratings. b. Construct a cumulative frequency distribution and a cumulative percent frequency distribution. c. Draw a ...The following data consist of the number of students who were absent in a professor’s statistics class each day during the last month. Construct a dot plot of these data, and then describe the distribution of absences. Table in the page margin presents quarterly sales of the TRK-50 mountain bike for the previous 16 quarters at a bicycle shop in Switzerland. The time series plot under the sales data shows that the bike sales exhibit an ...
Post your question