Refer to the Heating equipment data set in Appendix C.8 .The observations are listed in. time of der. Develop a reasonable predict of model for the monthly heating equipment order s;' Potential predictors include new homes for sale. current monthly deviation of temperature from historical average temperature. the prime lending fate. current distribution of inventory)' levels, the' amount of distributor sell through. and the level of discounting being offered. Your analysis should determine whether or not autocorrelation is present using α = .05. If autocorrelation is present. revise the model and analysis as needed.
Appendix C.8
A manufacturer of heating equipment was interested in forecasting the volume of monthly orders as a function of various economic indicators, supply-chain factors, and weather in a particular sales region. Data by month over a four-year period (1999-2002) for this region were available for analysis. Each line of the data set has an identification number and provides information on 9 other variables. The 10 variables are:
