In correlations, we referred to a linear trend in the data. That is, we assumed that there was a straight line we could draw through the middle of our scatterplot that would represent the relation bet...In correlations, we referred to a linear trend in the data. That is, we assumed that there was a straight line we could draw through the middle of our scatterplot that would represent the relation between our two variables, X and Y . Regression involves solving for the equation of that line, which is called the Line of Best Fit.
If there is a linear relationship, it seems appropriate to think that there is a linear function that models the relationship giving us deeper understanding of the relationship and allow us to extrapo...If there is a linear relationship, it seems appropriate to think that there is a linear function that models the relationship giving us deeper understanding of the relationship and allow us to extrapolate values that were not explicitly measured in our collection of the data. In essence, such a function would enable us to make predictions about cases that were not explicitly studied. This section develops the ideas of constructing a linear function that is the best fit for the data at hand.
