{"title":"多元线性回归","authors":"Robert Hultquist","doi":"10.1002/0471667196.ESS1707.PUB2","DOIUrl":null,"url":null,"abstract":"What happens when we are trying to derive a (linear) relationship between one dependent variable y and multiple k > 1 different independent variables xj? Well, in that case, we need multiple different parameters (slopes), one for each independent variable! For example, what is the linear relationship between the maintenance fees (costs y) of a bank as a function of the number of the new applications (x1) and the number of outstanding loans (x2)?","PeriodicalId":292274,"journal":{"name":"Statistical Methods for Biomedical Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MULTIPLE LINEAR REGRESSION\",\"authors\":\"Robert Hultquist\",\"doi\":\"10.1002/0471667196.ESS1707.PUB2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"What happens when we are trying to derive a (linear) relationship between one dependent variable y and multiple k > 1 different independent variables xj? Well, in that case, we need multiple different parameters (slopes), one for each independent variable! For example, what is the linear relationship between the maintenance fees (costs y) of a bank as a function of the number of the new applications (x1) and the number of outstanding loans (x2)?\",\"PeriodicalId\":292274,\"journal\":{\"name\":\"Statistical Methods for Biomedical Research\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Methods for Biomedical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/0471667196.ESS1707.PUB2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Methods for Biomedical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/0471667196.ESS1707.PUB2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
What happens when we are trying to derive a (linear) relationship between one dependent variable y and multiple k > 1 different independent variables xj? Well, in that case, we need multiple different parameters (slopes), one for each independent variable! For example, what is the linear relationship between the maintenance fees (costs y) of a bank as a function of the number of the new applications (x1) and the number of outstanding loans (x2)?
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