![]() Let’s print different inbuilt datasets offered by the carData package. Library(tidyverse) # data loading, manipulation and plotting ![]() The first step is to start installing and loading R libraries # use install.packages( ) function for installation Where I: Independent variable D: Dependent/Outcome variable Load Libraries Salary (D): nine-month salary, in dollars. Sex (I5): a factor with levels Female and Male Rank (I1): a factor with levels AssocProf, AsstProf, Profĭiscipline (I2): a factor with levels A (“theoretical” departments) or B (“applied” departments). The data frame includes 397 observations and 6 variables. The data were collected as part of the on-going effort of the college’s administration to monitor salary differences between male and female faculty members. The 2008–09 nine-month academic salary for Assistant Professors, Associate Professors and Professors in a college in the U.S. Here, we are going to use the Salary dataset for demonstration. The aim of this article to illustrate how to fit a multiple linear regression model in the R statistical programming language and interpret the coefficients. MLR regression model fitting and interpretation. ![]() A simple linear regression model fitting. ![]()
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