A linear regression model is expressed as y = ax+b (in the text the form was given as Y - BO+ B1x where Bo is the equivalent of b and is the intercept and B1 is the equivalent of a and is the slope of the line). The following equations can be used to compute the value of the coefficients a and b. n 12 - = 1=1 2 n 12 1-1 2 b=I - x;) 72 i=1 Using the following set of data, find the coefficients a and b rounded to the nearest thousandths place and the predicted value of y when x is 10. {(-2,-1), (1, 1), (3, 2)} a = b = y = when x is 10