A hotel chain ran multiple regression to predict nightly rev…
Questions
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 Based on the Coefficients table, which predictor(s) are statistically significant at the α = 0.05 level? (Select All)