Question: **PLEASE USE STATA** PLEASE ADDRESS EACH QUESTION INDIVIDUALLY I NEED THIS ANSWERED FAIRLY QUICKLY The Olympia Paper Company would like to develop a prediction model
**PLEASE USE STATA** PLEASE ADDRESS EACH QUESTION INDIVIDUALLY
I NEED THIS ANSWERED FAIRLY QUICKLY
The Olympia Paper Company would like to develop a prediction model that can be used to give point forecasts and prediction intervals of weekly paper towel sales over 100,000 rolls (sales are measured in units of 10,000 rolls). With a reliable model, OPC will be able to more effectively plan its production schedule, plan its budget, and estimate requirements for producing and storing this product.
Q1. Using 120 weeks of historic weekly paper towel sales, examine the time series to determine whether it is stationary. If it is not, perform a transformation to make the series stationary. In your answer, please make sure to define and explain 1) stationarity and 2) first differencing.
Q2. Use the paper towels data to illustrate the formula for , the sample autocorrelation (SAC) at lag k. Use Stata as a fancy calculator to solve for the SAC at lags 1 to k in your answer, provide a listing and a graph of the sample autocorrelations. Are any of the sample autocorrelations statistically significant? Why is this information important?
Q3. Consider the first differences of the paper towel data. Use Stata to solve for the sample partial autocorrelations in your answer, provide a listing and a graph of the sample partial autocorrelations at lags 1 to k. What is a sample partial autocorrelation? Why do we solve for sample partial autocorrelation function in addition to the sample autocorrelation function?
sales
1.15
2.14.4064
3.14.9383
4.16.0374
5.15.632
6.14.3975
7.13.8959
8.14.0765
9.16.375
10.16.5342
11.16.3839
12.17.1006
13.17.7876
14.17.7354
15.17.001
16.17.7485
17.18.1888
18.18.5997
19.17.5859
20.15.7389
21.13.6971
22.15.0059
23.16.2574
24.14.3506
25.11.9515
26.12.0328
27.11.2142
28.11.7023
29.12.5905
30.12.1991
31.10.7752
32.10.1129
33.9.933
34.11.7435
35.12.259
36.12.5009
37.11.5378
38.9.6649
39.10.1043
40.10.3452
41.9.2835
42.7.7219
43.6.83
44.8.2046
45.8.5289
46.8.8733
47.8.7948
48.8.1577
49.7.9128
50.8.7978
51.9.0775
52.9.3234
53.10.4739
54.10.6943
55.9.8367
56.8.1803
57.7.2509
58.5.0814
59.1.8313
60.-.9127
61.-1.3173
62.-.6021
63..14
64.1.403
65.1.928
66.3.5626
67.1.9615
68.4.8463
69.6.5454
70.8.0141
71.7.9746
72.8.4959
73.8.4539
74.8.7114
75.7.378
76.8.1905
77.9.972
78.9.693
79.9.4506
80.11.2088
81.11.4986
82.13.2778
83.13.591
84.13.4297
85.13.3125
86.12.7445
87.11.7979
88.11.7319
89.11.6523
90.11.3718
91.10.5502
92.11.4741
93.11.5568
94.11.7986
95.11.8867
96.11.2951
97.12.7847
98.13.9435
99.13.6859
100.14.1136
101.13.8949
102.14.2853
103.16.3867
104.17.0884
105.15.8861
106.14.8227
107.15.9479
108.15.0982
109.13.877
110.14.2746
111.15.1682
112.15.3818
113.14.1863
114.13.9996
115.15.2463
116.17.0179
117.17.2929
118.16.6366
119.15.341
120.15.6453
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