bankloan_binning.sav
对上面数据影响客户诚信情况的变量年龄、工作年限、居住时间、收入、信用债、其他债务提取主成分后构建回归模型，进入模型的自变量个数为个。（填写数字）/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
对上面数据影响客户诚信情况的变量年龄、工作年限、居住时间、收入、信用债、其他债务提取主成分后构建回归模型，进入模型的自变量个数为个。（填写数字）/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
举一反三
- bankloan_binning.sav 对银行客户数据中的年龄、工作年限、居住时间、收入、信用卡债务、其他债务6个变量基于特征值大于1提取主成分，KMO值等于。/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
- bankloan_binning01.sav 为预测客户违约情况，请对上面数据进行logistic回归，回归模型中显著影响客户违约的自变量有个。（填写阿拉伯数字，如6）/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
- pm_customer_train二阶聚类.sav 新客户.sav根据第一组数据二阶聚类导出的模型，对新客户数据进行分类，新客户中编号为2的客户为第（）类客户。（填写数字）/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
- 价格涨幅校内校外有差异 PMIWYXY201810.sav PMIWYXY201811hx.sav PMIWYXY2018113+2.sav PMI国贸2班.sav PMI201812保险班.sav/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif
- B25.pdf B26.pdf B27.pdf B28.pdf B29.pdf B30.pdf/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif/js/editor20150812/dialogs/attachment_new/fileTypeImages/icon_default.gif