. Develop a simple linear regression equation to forecast annual sales. For this​ regression, the dependent​ variable, Y, is the demand in each year and the independent​ variable, X, is the index for the year​

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 31P
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a. Develop a simple linear regression equation to forecast annual sales. For this​ regression, the dependent​ variable, Y, is the demand in each year and the independent​ variable, X, is the index for the year​

Year
1
2
3
4
753
908
January
February
1,042
953
754
963
618
686
621
714
782
1,036
1,189
1,427
1,540
1,578
1,549
1,466
1,440
1,149
1,088
March
684
795
836
1,058
1,126
1,257
1,290
1,279
1,316
1,096
976
848
1,013
1,233
1,325
1,453
1,496
1,542
1,620
1,433
1,284
959
April
May
June
802
1,163
1.229
1,270
1,377
1,411
1,473
1,200
1,098
989
July
August
September
October
1,010
1,132
1,157
1,146
1,151
1,001
November
December
858
Transcribed Image Text:Year 1 2 3 4 753 908 January February 1,042 953 754 963 618 686 621 714 782 1,036 1,189 1,427 1,540 1,578 1,549 1,466 1,440 1,149 1,088 March 684 795 836 1,058 1,126 1,257 1,290 1,279 1,316 1,096 976 848 1,013 1,233 1,325 1,453 1,496 1,542 1,620 1,433 1,284 959 April May June 802 1,163 1.229 1,270 1,377 1,411 1,473 1,200 1,098 989 July August September October 1,010 1,132 1,157 1,146 1,151 1,001 November December 858
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ISBN:
9781337406659
Author:
WINSTON, Wayne L.
Publisher:
Cengage,