This paper describes the regression analysis between different variable like Weight & BMI, Weight & Height, and
Height & BMI using Linear Regression Model & data visualization techniques in R Programming from a sample data of 68
students of BCA. The collected data were analyzed for underweight, overweight, obese personalities by using conditional
statements. The result of the model will give Residual Standard Error, Multiple R2
, Adjusted R2
, F-statistic and p-value. There is
visualization of data using ggplot() and geom() in last steps.
