A hоtel chаin rаn multiple regressiоn tо predict nightly revenue per room ($) using three predictors: аverage room rate ($), occupancy rate (%), and number of events booked in the city that night. Data covers 120 nights across 5 properties. Below is the summarized output Regression Statistics R-squared 0.89 Adjusted R-squared 0.88 F-statistic 316.4 p-value (F-test) 0.0000 Observations 120 Variable Coefficient p-value Intercept −18.40 0.214 Average Room Rate ($) 0.93 0.0000 Occupancy Rate (%) 1.12 0.0003 City Events (count) 3.85 0.162 The VP of Operations asks whether the hotel should invest in lobbying city officials to attract more events, citing the coefficient of 3.85 for City Events. What is the most statistically sound response?