SCENARIO 17-4 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 17-4, what percentage of the variation in weekend box office revenue can be explained by the amount spent on TV advertising and the number of times a day the advertisement appears on TV?
Definitions:
Q3: Referring to Scenario 17-6, how many hidden
Q35: Referring to Scenario 15-6, the model that
Q36: Dashboards may contain all but which of
Q45: Referring to Scenario 16-13, you can conclude
Q94: Referring to Scenario 16-4, a centered 5-year
Q101: You can compute any of the numerical
Q129: Referring to Scenario 16-4, exponential smoothing with
Q133: Referring to Scenario 14-19, which of the
Q200: Referring to Scenario 18-12, what should be
Q293: Referring to Scenario 18-9, the 0 to