Question 1 5.2 out of 0.2 points Regression analysis was used to estimate the following equation from quarterly data: In St = 2.5 + 0.01 t Use this equation to calculate the forecast value of the dependent variable ( St) in time period 10. Question 2 5.2 out of 0.2 points Four different forecasting methods were applied to a set of time-series data. The root-mean-square error (RMSE) was calculated for each method. Which of the following four RMSE values would be associated with the forecasting method that fit the data set best? Question 3 5.2 out of 0.2 points During the past eight years, the level of demand for a company's product has increased from 100 units per day to 137 units per day. What was the average annual compound growth rate over this period? Question 4 5.2 out of 0.2 points The forecast level of sales for the month of October was 140 units. Actual sales in October turned out to be 130 units. Use an exponential smoothing coefficient of 0.60 to forecast sales for November. Question 5