Final answer:
The student's question is related to using an exponential forecast method, but it lacks the necessary historical data to perform such a calculation. Instead, using a regression model, we predict the sales for day 60 and day 90 to be $250,120 and $324,520, respectively, in thousands of dollars.
Step-by-step explanation:
The question at hand involves using the exponential forecast method with a smoothing constant to predict future sales for a given period. However, the student's question contains insufficient data for computing an exponential smoothing forecast, as it requires historical data. Instead, using the regression model provided, one can predict sales for given days.
To predict the sales on day 60 and day 90 using the given model (ŷ = 101.32 + 2.48x), plug in the values of x and perform the calculations:
- For day 60: ŷ = 101.32 + (2.48 × 60) = 101.32 + 148.80 = 250.12 (in thousands of dollars)
- For day 90: ŷ = 101.32 + (2.48 × 90) = 101.32 + 223.20 = 324.52 (in thousands of dollars)
These predictions are valuable for understanding anticipated sales growth in the period under consideration.