Homework
Part I:
For the data listed below,
Month
|
Tired Sold
|
January
|
515
|
February
|
385
|
March
|
1413
|
April
|
1925
|
May
|
1146
|
June
|
894
|
July
|
826
|
August
|
635
|
September
|
2165
|
October
|
1535
|
November
|
707
|
December
|
639
|
i. Create a forecast using a three period simple moving average
ii. Create a forecast using a three month weighted moving average using weights 0.6, 0.3 and 0.1 assigning higher weight for the most recent period.
iii. Create an exponential smoothing forecast using a smoothing constant of 0.4.
iv. Calculate RMSE for each of the methods, compare values and identify the method yielding a forecast with better accuracy.
Part II:
For the data listed below,
Purchase
|
Income ($ '000)
|
Age
|
Gender
|
0
|
71.9
|
42
|
2
|
0
|
100.4
|
42
|
1
|
0
|
105.6
|
44
|
1
|
1
|
83.1
|
39
|
2
|
0
|
114.2
|
43
|
1
|
1
|
113.5
|
44
|
1
|
0
|
115.2
|
42
|
1
|
0
|
100.4
|
35
|
2
|
0
|
92.6
|
43
|
2
|
0
|
123.8
|
42
|
1
|
0
|
122.8
|
45
|
1
|
1
|
98.6
|
46
|
2
|
0
|
107.6
|
41
|
2
|
0
|
108.4
|
42
|
2
|
1
|
138.8
|
41
|
1
|
1
|
109.9
|
44
|
2
|
1
|
136.2
|
47
|
1
|
1
|
117.6
|
38
|
2
|
1
|
122.8
|
43
|
2
|
0
|
121.8
|
45
|
2
|
1
|
126.6
|
41
|
2
|
1
|
125.8
|
46
|
2
|
1
|
138.8
|
42
|
2
|
0
|
149.6
|
37
|
1
|
1
|
159.5
|
33
|
2
|
Code definitions: Purchase 0 - Not purchased and 1 - Purchased; Gender 1 - Male and 2 - Female
Fit a logistic regression model to predict purchase decision. Identify significant predictors and comment on classification accuracy.
Format your homework according to the following formatting requirements:
i) The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.
ii) The response also includes a cover page containing the title of the homework, the student's name, the course title, and the date. The cover page is not included in the required page length.
iii) Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.