SCENARIO 16-13
Given below is the monthly time series data for U.S. retail sales of building materials over a
specific year. Month 123456789101112 Retail Sales 6,5946,6108,1749,51310,59510,4159,9499,8109,6379,7329,2149,201 The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive,
second-order autoregressive and third-order autoregressive model are presented below in which
the coded month for the 1st month is 0: Linear trend model:
Intercept Coded Month Coefficients 7950.7564212.6503 Standard Error 617.634295.1145 t Stat 12.87292.2357 P-value 0.00000.0494
Quadratic trend model:

Exponential trend model:
Intercept Coded Month Coefficients 3.89120.0116 Standard Error 0.03150.0049 t Stat 123.36742.3957 P-value 0.00000.0376
First-order autoregressive:
Intercept YLag1 Coefficients 3132.09510.6823 Standard Error 1287.28990.1398t Stat 2.43314.8812 P-value 0.03780.0009
-Referring to Scenario 16-13, what is your forecast for the 13th month using the third-order
autoregressive model?
Definitions:
Bystander-Calculus Model
In attending to an emergency, the bystander calculates the perceived costs and benefits of providing help compared with those associated with not helping.
Bystander Apathy
A phenomenon where individuals are less likely to offer help to a victim when other people are present.
Personal Costs
The sacrifices or losses endured by an individual as a consequence of making a decision or taking an action.
Prosocial Behaviour
Actions intended to benefit others, including helping, sharing, and caring activities that promote social harmony and well-being.