a. Explain in plain English how a regression minimizes the squared errors. Why does a regression give us a single line that best fits the data?

b. What is the difference between an observed value of the dependent variable (Y) and a predicted value of the dependent variable ()?

c. Why would one expect to see all of the data points on the line representing the regression line if an independent variable perfectly predicts a dependent variable?