To study whether movie ratings and release season influence the box office earnings, you gather data on 70 recent movies. You characterize each movie’s rating (G, PG, PG-13, R, or NC-17) and release season (summer or not summer).
Complete the ANOVA table below by filling in the shaded boxes
Find the appropriate critical value(s) [? = 0.05]
Does box office revenue significantly vary with rating, release season, or their interaction? Clearly answer for each.
SS |
df |
MS |
F |
|
Rating |
455 |
|||
Season |
192.5 |
|||
Interaction |
140 |
|||
Within |
1,050 |
|||
Total |
1,837.5 |
Ans:
df(rating)=5-1=4
df(season)=2-1=1
df(interaction)=(5-1)*(2-1)=4
N=5*2*70=170
df(within)=170-5*2=160
SS | df | MS | F | critical F | |
Rating | 455 | 4 | 113.75 | 17.333 | 2.43 |
Season | 192.5 | 1 | 192.5 | 29.333 | 3.90 |
Interaction | 140 | 4 | 35 | 5.333 | 2.43 |
Within | 1,050 | 160 | 6.5625 | ||
Total | 1,837.50 | 169 | |||
As,F statistic for rating,season and interaction is greater than respective critical F values,so rating,season and interaction are significant.
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