Causal (Associative) Forecasting; Regression Analysis

Hotel A wants to see the impact of three independent variables, loyalty program tier (X1), price (X2), and location (X3), on its revpar (Y). The multiple regression line caluculated is as following:

Y = 2.5 + 2.1(X1) + 0.8(X2) – 4.5(X3)

Forecast Hotel A’s revpar for the following conditions a and b:

	X1 (loyalty program tier)	X2 (price)	X3 (location)
a	2	299	3.5
b	4	199	6.5

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