SCENARIO 14-4
The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars) based on data collected in different cities on the expenditure (at $25, $30, $35, $40, $45, $50, $55, $60, $65 or $70 thousand) spent on TV advertising and the number of times (10, 15, 20, 25, 30 or 35) a day the advertisement appear on TV.
-Referring to SCENARIO 14-4, the highest mean weekend box office revenue is predicted to occur with at least $45 thousand spent on TV advertisement and at least 25 advertisement appearances a day.

Question

SCENARIO 14-4
The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars) based on data collected in different cities on the expenditure (at $25, $30, $35, $40, $45, $50, $55, $60, $65 or $70 thousand) spent on TV advertising and the number of times (10, 15, 20, 25, 30 or 35) a day the advertisement appear on TV. 
-Referring to SCENARIO 14-4, the highest mean weekend box office revenue is predicted to occur with at least $45 thousand spent on TV advertisement and at least 25 advertisement appearances a day.

Quizplus · Accepted Answer

In SCENARIO 14-4, the conditions specified for achieving the highest mean weekend box office revenue include spending at least $45 thousand on TV advertisement and having at least 25 advertisement appearances a day, indicating that these factors are key to maximizing revenue according to the scenario's data analysis or predictive model.

SCENARIO 14-4 The Regression Tree Below Was Obtained for Predicting the Weekend