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Multiple regression vs linear regression analysis

5 years ago in Data Analysis By Umar Nasiru

Data analysis

How is multiple regression analysis different from linear regression analysis? Also guide me on how to perform multiple regression test.

All Answers (5 Answers In All)

By Vipul Answered 5 years ago

The difference between the two regression analysis is the number of independent variables. In linear regression analysis, single independent variable is used to determine the value of the given dependent variable. Whereas in multiple regression analysis, two or more independent variables are used to determine the value of the dependent variable.

By Pranav Answered 5 years ago

multiple regression explains the relationship between the predictor variables and independent variables. Unlike linear regression, multiple regression requires two or more dependent variables. Multiple regression test involves several assumptions such as 1) the model under investigation must be linear in nature 2) variables must have normal distribution 3) the variance must remain constant across all predictor variables

By Sourabh Answered 5 years ago

https://www.spss-tutorials.com/spss-multiple-regression-tutorial/, https://ssor.vcu.edu/media/statistics/resources/spss/SPSS.MultiReg.PC.pdf, https://in.sagepub.com/sites/default/files/upm-binaries/49300_ch_7v.pdf

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