In: Statistics and Probability
FORECASTING
A major source of revenue in Jacksonville is a county sales tax on certain types of goods and services. For the most recent 4 years (2015 to 2018), quarterly sales tax revenue (in millions of dollars) has been collected. These values are shown in the following table:
| 
 Year  | 
 Quarter  | 
 Sales Tax Revenue ($1,000,000)  | 
| 
 2015  | 
 1  | 
 218  | 
| 
 2015  | 
 2  | 
 247  | 
| 
 2015  | 
 3  | 
 243  | 
| 
 2015  | 
 4  | 
 292  | 
| 
 2016  | 
 1  | 
 225  | 
| 
 2016  | 
 2  | 
 254  | 
| 
 2016  | 
 3  | 
 255  | 
| 
 2016  | 
 4  | 
 299  | 
| 
 2017  | 
 1  | 
 234  | 
| 
 2017  | 
 2  | 
 265  | 
| 
 2017  | 
 3  | 
 264  | 
| 
 2017  | 
 4  | 
 327  | 
| 
 2018  | 
 1  | 
 250  | 
| 
 2018  | 
 2  | 
 283  | 
| 
 2018  | 
 3  | 
 389  | 
| 
 2018  | 
 4  | 
 356  | 
Use multiple regression to estimate the trend and seasonal components of this time series. Explain the meaning of each estimated coefficient that results from the regression procedure. Then, provide a forecast for each quarter of 2019.
data
| y | t | Q1 | Q2 | Q3 | 
| 218 | 1 | 1 | 0 | 0 | 
| 247 | 2 | 0 | 1 | 0 | 
| 243 | 3 | 0 | 0 | 1 | 
| 292 | 4 | 0 | 0 | 0 | 
| 225 | 5 | 1 | 0 | 0 | 
| 254 | 6 | 0 | 1 | 0 | 
| 255 | 7 | 0 | 0 | 1 | 
| 299 | 8 | 0 | 0 | 0 | 
| 234 | 9 | 1 | 0 | 0 | 
| 265 | 10 | 0 | 1 | 0 | 
| 264 | 11 | 0 | 0 | 1 | 
| 327 | 12 | 0 | 0 | 0 | 
| 250 | 13 | 1 | 0 | 0 | 
| 383 | 14 | 0 | 1 | 0 | 
| 389 | 15 | 0 | 0 | 1 | 
| 356 | 16 | 0 | 0 | 0 | 
Excel regression output
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.86072103 | |||||
| R Square | 0.740840692 | |||||
| Adjusted R Square | 0.646600944 | |||||
| Standard Error | 32.58867274 | |||||
| Observations | 16 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 4 | 33395.2 | 8348.8 | 7.861233775 | 0.0030201 | |
| Residual | 11 | 11682.2375 | 1062.021591 | |||
| Total | 15 | 45077.4375 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 244.0625 | 24.44150455 | 9.985575948 | 7.50039E-07 | 190.2671112 | 297.8578888 | 
| t | 7.44375 | 1.821762189 | 4.086016302 | 0.001801683 | 3.434078458 | 11.45342154 | 
| Q1 | -64.41875 | 23.68290845 | -2.720052317 | 0.01992959 | -116.54448 | -12.29302 | 
| Q2 | -16.3625 | 23.32993925 | -0.701352019 | 0.497652968 | -67.71135007 | 34.98635007 | 
| Q3 | -23.30625 | 23.11557079 | -1.008248951 | 0.334999183 | -74.18327827 | 27.57077827 | 
y^= 244.0625 + 7.44375 t -64.41875 Q1 -16.3625 Q2 -23.30625 Q3
| t | predicted | 
| 17 | 306.1875 | 
| 18 | 361.6875 | 
| 19 | 362.1875 | 
| 20 | 392.9375 |