Causal (Associative) Forecasting; Regression Analysis

| November 18, 2015

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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Consider the following actual and forecast demand levels
(1 pt) The heights of women aged 20 to 29 are approximately Normal with mean 64 inches and standard

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