disregard the answers already filled out. will rate. please do asap. thanks.

Open the jobs1 JMP 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 ] parameter for Model X is 2. The predicted number of jobs filled for the first month of next year according to Model X is 3. The [Add ] parameter for Model_Y is 4. The predicted number of jobs filled for the first month of next year according to Model Y is 5. The number of "columns" selected to be placed in the [Add ] parameter for Model_Z is 6. The predicted number of jobs filled for the first month of next year according to Model_Z is 7. Model_ X is the best fit model because it has the lowest Adjusted RSquare (T/F) \begin{tabular}{|r|r|r|c|} \hline & & & Total Filled \\ \hline 1 & Year & Month & Jobs \\ \hline 2 & 2005 & 1 & 1776570 \\ \hline 3 & 2005 & 3 & 1846350 \\ \hline 4 & 2005 & 4 & 1883300 \\ \hline 5 & 2005 & 5 & 1871630 \\ \hline 6 & 2005 & 6 & 1867870 \\ \hline 7 & 2005 & 7 & 1857260 \\ \hline 8 & 2005 & 8 & 1856360 \\ \hline 9 & 2005 & 9 & 1876270 \\ \hline 10 & 2005 & 10 & 1866920 \\ \hline 11 & 2005 & 11 & 1901480 \\ \hline 12 & 2005 & 12 & 1935670 \\ \hline 13 & 2006 & 1 & 1813860 \\ \hline 14 & 2006 & 2 & 1879380 \\ \hline 15 & 2006 & 3 & 1922130 \\ \hline 16 & 2006 & 4 & 1887360 \\ \hline 17 & 2006 & 5 & 1895750 \\ \hline 18 & 2006 & 6 & 1876460 \\ \hline 19 & 2006 & 7 & 1881840 \\ \hline 20 & 2006 & 8 & 1887790 \\ \hline 21 & 2006 & 9 & 1885440 \\ \hline 22 & 2006 & 10 & 1902680 \\ \hline 23 & 2006 & 11 & 1937590 \\ \hline 24 & 2006 & 12 & 1970000 \\ \hline \end{tabular}