A researcher analyzes the factors that may influence amusement park attendance
FOR MORE
CLASSES VISIT
Exhibit
15-3. A researcher analyzes the factors that may influence amusement park
attendance. She estimates the following model: Attendance = .80 + [)IPricc +
[IlTempcrature + [I‘Rides + s where Attendance is the daily attendance (in
1000s), Price is the gate price (in $), Temperature is the average daily
temperature (in 0F), and Rides is the number of rides at the amusement park. A
portion c the regression results is shown in the accompanying table. .\\‘(
>\'.\ J!" SN 1/5 1" Signmcum‘c ! Regression 3 39524.“ "341.47
1. l tilt-l4 Rcmlllul 3(5 INN}? 98 ()3 Total 3‘) 13088 78 ShllJJru‘d' [JJH'CI‘
If k’Iii'I' f. '11..:,ffh.'h‘nl.\' lz'rrul' I Sm! [lamina 40% 05‘5“.) Intercept
37.328 40.254 0 5032 ~55.415 I [0.07] Price -| 20] (1.294 0 “(NH -I .8()5 41598
'l‘cmpcramrc (l (108 (I :08 0 960,1 -(l Jl‘) I) 435 Bi}??? 3.9-“ ‘.’.-.~_“A.(’3
3:5 .3}{ill—.3.-.§.7V4._i-f‘9f’_ REfer to Exhibit 15-3. When testing whether
Rides is significant at the 1% level, she A' Rejects H0 Zflfi = 0, and concludes
that Rides is significant. 13' Does not reject H0 Zflfi = 0, and concludes that
Rides is significant. C' Rejects H0 1% = 0, and concludes that Rides is not significant.
D' Does not reject H0 I/IJ = 0, and concludes that Rides is not significant.
Comments
Post a Comment