Below is the MINITAB output for the Autocorrelation Function on monthly loan data

| August 30, 2017

Question
1. Below is the MINITAB output for the Autocorrelation Function on monthly loan data. Based on these numbers,

Lag ACF T LBQ

1 0.895262 4.39 21.74

2 0.788397 2.69 39.37

3 0.673311 2.68 52.85

4 0.558157 2.25 62.57

5 0.433083 1.92 68.73

11 -0.265639 -0.53 78.09

12 -0.351209 -0.69 84.50

13 -0.393592 -0.76 93.29(Points : 2)

There is a trend in this data

This data is random

This data is stationary

This data has seasonality

Question 2. 2.If MAPE and MAD indicate different methods, how do you choose which method to use?(Points : 2)

You always trust MAPE better.
You aslways trust MAD better.
You have to use your judgement.
You can not choose a method

Question 3.3.Below is the MINITAB output for the Autocorrelation Function on Sales. Based on those numbers:

Lag ACF T LBQ

1 0.726293 6.66 45.91

2 0.494402 3.16 67.45

3 0.386505 2.22 80.77

4 0.353881 1.92 92.08

11 0.528284 2.46 157.25

12 0.676117 2.94 203.11

13 0.463686 1.84 224.99

23 0.290342 1.07 253.67

24 0.361166 1.32 269.37

25 0.203656 0.73 274.45

35 0.101400 0.36 283.75

36 0.147692 0.52 287.03(Points : 3)

There is significant correlation at lag 1.
There is significant correlation at lag 12.
This data is non-stationary.
All of the above is correct.

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