Answer Happy

Open the jobs6 MP file and see that it contains two years of monthly data on total number of filled jobs. You are to compare three models and select the best fit one: Model_X: Linear trend line forecasting Model_Y: Seasonal forecasting (NOTE: season has 12 levels here, one month per season) Model_Z: Seasonal forecasting with trend Complete the following statements: 1. The [X, Factor ) for Model X is (Select ] 2. The predicted number of filled jobs for the first month of next yer according to Model X is (Select] 3. The [Add ] parameter for Model_Y is 11 dummy variables créated to v 4. The predicted number of filled jobs for the first month of next year according to Model Yis [Select] 5. The number of "columns" selected to be placed in the [Add ] parameter for Model_Z is 12 6. The predicted number of filled jobs for the first month of next year according to Model Z is (Select] 7. Model_Z is the best fit model because it has the highest Adjusted RSquare (T/F) T

Edit lables Rows Cols DOE Analyze Graph lools View Window Help 56 Da E 1 N 3 4 5 6 7 8 Year 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2011 2011 2011 2011 umns (B/0) 9 10 11 nth al Filled Jobs 12 Month Total Filled Jobs 1 1833590 2 1898550 3 1929880 4 1906470 5 1893570 6 1884660 7 1873940 8 1868550 9 1875840 10 1888510 11 1919410 12 1958880 1 1843110 2 1908290 3 1943810 4 1911650 5 1906270 6 1900770 7 1889820 8 1895760 9 1899470 10 1903630 11 1940200 12 1983070 13 14 15 16 17 2011 18 19 20 2011 2011 2011 2011 2011 2011 21 22 23 24 WS EN 2011 N 24 0 VS ed ed in ed TOOOO