Q3. Showtime Movie Theaters\' data on weekly gross revenue ($1,000) as a functio
ID: 3065622 • Letter: Q
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Q3. Showtime Movie Theaters' data on weekly gross revenue ($1,000) as a function of television advertisement ($1,000) and newspaper advertisement ($1,000), Results are presented below. Source ds Sunber of obs 2 11.7177039 Prob > r 5 -412918442 R-qoaced 7 3.64285714 Root NSE 58 12, 5) 28.38 0.0019 0.9190 Adj-squared 0.8866 -64259 Mode1 23.4354078 Reaidual1 2.06459221 Total r 25.5 WeeklyGrossRevenue I Coet. Std. Eer, t Pit 1958 Cont. Intervall TVadvertisesent 1 2.290184 3040646 7.53 0.003 . 508361 Nevspaperadvertisement 1.300989 3207016 4.06 0.020 4 4765994 2.125379 83.23009 1.573869 52.88 0.000 79.18433 87.27585 a. Interpret each estimated coefficient from the above model. Dr. Lukongo EC 375 Spring 2018Explanation / Answer
Q3.
We have model with response variable "gross revenue" and two predictors "telivision advertisement" and "newspaper advertisement". Two predictors explain 88.66% (Adj. R-square) variation in gross revenue. "Telivision Advertisement" and "Newspaper Advertisement" predictors are statistically significant (p-values<0.05) in explaining/ predicting gross revenue of Showtime Movie Theaters. However unit chage in "Telivision Advertisement" causes $ 2.290184 times change in gross revenue keeping influence of "Newspaper Advertisement" as constant. In case of unit change in "Newspaper Advertisement" causes $ 1.3009 times change in gross revenue keeping influence of " TV Advertisement" as constant. When we don't have any advertisement (TV or newspaper), still we have revenue of $ 83.23009, which is significant with p-value<0.01.
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