销售预测回归分析
- 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。
y = 71.48e -0.11x
R² = 0.25
010
203040
5060708090
1000
1
2
3
4
5
6
7
A1
指数(A1)
123456线性R²对数R²指数R²幂数R²物料编码/月份
A17739398836300.18120.18900.25000.2503 A256680994790.02880.02710.00070.0001 A36887674565290.55730.40990.57120.4144 A4854609336370.05400.18540.18970.4053 A5954073562690.00390.08960.00580.0159 A62878122425750.02710.01070.02630.0048 A7481328725280.10170.24790.02770.1081 A8566989463710.25810.48550.38200.6230 A96043195615620.00900.05410.02680.0774 A102460758571590.30370.54460.36360.6147
多项式举例(3项式)
A1A2A3A4A5A6A7A8A9A10
月份/物料编码
150141315238519833273 25178460865266604818 397191995623824792770 48245724438753889456 516727172507220509932 6408051371004938113225 765254699927872421059 8778892598899392525 95236882316322838147 10735743842416538759 1128423980838314722760 1298662087496120231117 R²=0.10590.15990.66050.32130.15030.01620.08530.24830.06500.1711