Linear Regression, Data Science, Modeling, Ordinary Least Square, Regression.
(numeric), amount of bamboo eaten (numeric), and whether they had siblings (boolean). We will also add constant value of 1 to calculate the y-intercept. Before even getting started, to model weight ~ predictors we must make some basic assumptions, such as linearity, normality, and homoscedasticity.