00:01
Hello, so we're going to fill in the blanks for this problem.
00:05
We have seven blanks.
00:06
We're just going to read through them and solve them.
00:08
I also do not have the jobs 10 jmp file.
00:12
So this is just an inferred list of answers, but they should be helpful towards your jmp file.
00:23
So the x -factor parameter for model x is a linear trend.
00:31
The predicted number of fill jobs for the first month of next.
00:34
Year according to model x is this would be a value of some sort a number that has to be referred to your your jobs 10 jmp file but just in this sense of this example this would depend on the trend line generated by model x a plausible estimate would be inferred from the trend possibly slightly higher or lower than the last observed data point for example if the current trend shows steady growth the number could be an increase over the last data point.
01:07
Now, the ad parameter for model y is seasonal forecasting.
01:21
The predicted number of filled jobs for the first month of next year, according to model y, is also going to be a number in this case.
01:28
This would depend on the seasonal pattern established by model y.
01:31
It could follow the pattern of the previous january if the first month is january...