Exhibit 6 A local moving company has collected data on the number of moves made over the past three years. Moving is highly seasonal, so the owner/operator decides to apply the multiplicative seasonal method to forecast the number of customers for the coming year. Using some other forecasting method, he has arrived at a forecast of 212 for total sales for the next year. The following tables provides related information. Please find the missing information. Year 4 Quarter Year 1 Year 2 Year 3 1 37 2 3 4 Total Average Quarter 1 49 34 151 37.75 Year 1 0.64 1.17 1.30 Seasonal Indices Year 2 0.68 1.07 024 49 Options for Q23 183 1.29 0.96 189 Year 3 0.78 1.04 1.25 0.93 62 201 Year 4 0.80 1.03 1.23 0.94 Forecast Average 0.72 1.08 011 h 025

A local moving company has collected data on the number of moves made over the past three years. Moving is highly seasonal, so the ownerioperator decides to apply the multiplicative seasonal method to forecast the number of customers for the coming year. Using some other forecasting method, he has arrived at a forecast of 212 for total sales for the next year. The following tables provides related information. Please find the missing information. Options for Q23