The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month. Units=enter your response here+(enter your response here)•Year+(enter your response here)•Jan+(enter your response here)•Feb+(enter your response here)•Mar+(enter your response here)•Apr+(enter your response here)•May+(enter your response here)•Jun+(enter your response here)•Jul+(enter your response here)•Aug+(enter your response here)•Sep+(enter your response here)•Oct+(enter your response here)•Nov (Round to the nearest integer as needed.)
The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month. Units=enter your response here+(enter your response here)•Year+(enter your response here)•Jan+(enter your response here)•Feb+(enter your response here)•Mar+(enter your response here)•Apr+(enter your response here)•May+(enter your response here)•Jun+(enter your response here)•Jul+(enter your response here)•Aug+(enter your response here)•Sep+(enter your response here)•Oct+(enter your response here)•Nov (Round to the nearest integer as needed.)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
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The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales
Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month.
Units=enter your response here+(enter your response here)•Year+(enter your response here)•Jan+(enter your response here)•Feb+(enter your response here)•Mar+(enter your response here)•Apr+(enter your response here)•May+(enter your response here)•Jun+(enter your response here)•Jul+(enter your response here)•Aug+(enter your response here)•Sep+(enter your response here)•Oct+(enter your response here)•Nov
(Round to the nearest integer as needed.)
Month
|
Year
|
Units
|
|
---|---|---|---|
Jan
|
1
|
39,813
|
|
Feb
|
1
|
40,078
|
|
Mar
|
1
|
47,439
|
|
Apr
|
1
|
47,298
|
|
May
|
1
|
49,212
|
|
Jun
|
1
|
51,480
|
|
Jul
|
1
|
46,467
|
|
Aug
|
1
|
45,209
|
|
Sep
|
1
|
44,798
|
|
Oct
|
1
|
46,990
|
|
Nov
|
1
|
42,160
|
|
Dec
|
1
|
44,184
|
|
Jan
|
2
|
42,227
|
|
Feb
|
2
|
45,424
|
|
Mar
|
2
|
54,075
|
|
Apr
|
2
|
50,926
|
|
May
|
2
|
53,572
|
|
Jun
|
2
|
54,921
|
|
Jul
|
2
|
54,449
|
|
Aug
|
2
|
56,079
|
|
Sep
|
2
|
52,177
|
|
Oct
|
2
|
50,087
|
|
Nov
|
2
|
48,513
|
|
Dec
|
2
|
49,278
|
|
Jan
|
3
|
48,134
|
|
Feb
|
3
|
54,888
|
|
Mar
|
3
|
61,064
|
|
Apr
|
3
|
53,350
|
|
May
|
3
|
59,471
|
|
Jun
|
3
|
59,370
|
|
Jul
|
3
|
55,088
|
|
Aug
|
3
|
59,349
|
|
Sep
|
3
|
54,472
|
|
Oct
|
3
|
53,164
|
|
Nov
|
3
|
48,807
|
|
Dec
|
3
|
46,956
|
|
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