Question: table [ [ Year , Month,Jobs ] , [ 2 0 1 2 , 1 , 1 8 6 8 7 1 0 ]

\table[[Year,Month,Jobs],[2012,1,1868710],[2012,2,1923890],[2012,3,1946060],[2012,4,1936730],[2012,5,1939250],[2012,6,1917860],[2012,7,1919690],[2012,8,1921050],[2012,9,1921750],[2012,10,1939550],[2012,11,1967250],[2012,12,2007480],[2013,1,1872470],[2013,2,1925270],[2013,3,1938670],[2013,4,1910800],[2013,5,1889830],[2013,6,1873610],[2013,7,1873190],[2013,8,1853740],[2013,9,1863470],[2013,10,1867600],[2013,11,1894620],[2013,12,1942410]]
Open the iobs8.Download iobs8JMP file or jobs8.xlsx Download iobs8.xtsyExcel file. 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:
MadelX; Linear trend line forecasting
Madel X: Seasonal forecasting (NOTE: season has 12 levels here, one month per season)
Madelz: Seasonal forecasting with trend
Complete the following statements:
The [x, Eantor] parameter for Motal x is [Select]["The Year column:", "The Month column.", "An additional column that contains a running count of 24 time periods.," "An additional column that contains a running count of 12 time periods."].
The predicted number of filled jobs for the first month of next year according to "1887856.88").
The [Add]parameter for MadoilXis [Select]["3 dummy variables created to represent one of the 4 seasons:? "12 dammy variables created to represeat one of the 12 months., "4 dummy variables created to represent one of the 4 seasons.", "11 dummy variables created to represent one of the 12 months."1.
The predicted number of filled jobs for the firat month of next year nocording to "1887856.88")
The number of "columns" setected to be placed in the [Add] parameter for Cladatz is [Select]["13"11","24","12"].
The predioted number af filled jobs for the first month of next year according to Yodelzis is fSelect]["1807641.25","1871627.08","1882592.08","1866412.08"
Model X is the best fit model because it has the lowest Adiusted BSouech (T/EI I Select]["F","T"].
\ table [ [ Year , Month,Jobs ] , [ 2 0 1 2 , 1 ,

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