In a simple linear regression problem, a single input variable (x) and a single output variable (y), the linear equation would be y=ax+b; where a and b are and respectively. Bias Coefficient, feature coefficient feature coefficeint, bias coefficient slope, intercept intercept, slope Question 21 ( 2 points) For a regression line through the data, the vertical distance from each data point to the regression line is called residual. (i) Square the residual and (ii) sum all of the squared errors together. This is the quantity that ordinary least squares seek to ? maximize minimize increase