Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:   Quarter Seasonal Index Q1 72.9 Q2 84.3 Q3 108.6       Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4.   Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:     Coefficients Intercept 2,796 Time 77.4   What is the forecast for period 51, if period 51 is a Q1? (please round your answer to 1 decimal place)

Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:  Quarter Seasonal Index Q1 73.9 Q2 84.1 Q3 107.1      Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:    Coefficients Intercept 2,964 Time 50.7  What is the trend projection of the series for period 119? (please round your answer to 1 decimal

Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:  Quarter Seasonal Index Q1 73.7 Q2 82.5 Q3 108.1      Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:    Coefficients Intercept 2,733 Time 65.8  If the original value of the series in a Q4 was 2,197, then what is the seasonally adjusted value?

Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index 73.8 86.9 108.6 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,854 Time 76.8 If the original value of the series in a Q4 was 2,050, then what is the seasonally adjusted value? (please round your answer to 1 decimal place)

Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series:  Quarter Seasonal Index Q1 73.8 Q2 86.1 Q3 109.2      Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below:    Coefficients Intercept 2,291 Time 54.9 In general, what quarter is the busiest time of the year? (please just answer 1, 2, 3, or 4)

The demand for a product for the last six years has been 15, 15, 17, 18, 20, and 19. The manager wants to predict the demand for this time series using the following simple linear trend equation: trt = 12 + 2t. What are the forecast errors for the 5th and 6th years?

The president of State University wants to forecast student enrollment for this academic year based on the following historical data: Тear Enrollments 5 years ago 15,000 4 years ago 16,000 3 years ago |2 years ago 18,000 20,000 Last year 21,000 What is the forecast for this vear using exponential smoothing with trend If a= 0.5 and 8= 0.3? Assume the forecast for last vear was 21.000 and the forecast for two vears ago was 19.000, and that the trend estimate for last vear's forecast was 1.500. Multiple Choice 21,000 19,500 18,750 22,500 22,800 ооо оо

The figure below illustrates monthly data over 10 years.   What method would you expect would perform the best at forecasting the data series in period 121? Explain the (i) strengths of your selected method for this data and the (ii) weaknesses of alternative methods for this data. Consider the concepts of level, seasonality, trend, and noise in your answer.

The figure below illustrates monthly data over 10 years. What method would you expect would perform the best at forecasting the data series in period 121? Explain the (i) strengths of your selected method for this data and the (ii) weaknesses of alternative methods for this data. Consider the concepts of level, seasonality, trend, and noise in your answer.

Monthly sales have been found to follow a linear trend of y = 10 + 8x, where y is the number of items sold and x is the number of the month. Monthly deviations from the trend have been calculated and follow an additive model. In month 12, the seasonal variation is estimated to be -6. What is the forecasted number of items to be sold in month 12?