. The simple regression equation is expressed as Y" = a + bX. Y is the predicted value of Y according to the regression. Errors are defined as the differences between actual Y values and predicted Y. Therefore, the sum of squared errors is expressed as a. SSE = >(YP b. SSE - E(F - Y) C. SSE = E(Y - Y) SSE = E(X - X) 2. Besides (X, Y), which other data point is also on the regression line Y = a + bX? a. (0, 1) b. (a, b) c. (0, a) d. (b, 0) 3. The regression line is Y = a + bX. The intercept a is defined as a. the value of Y when X = 0 b. the value of X when Y= 0 c. the value changes in Y when X increases by one unit d. the value changes in X when Y increases by one unit 4. Which one of the following statements is correct? a. The correct range for the correlation coefficient is -1 s / = 1 b. The correct range for the regression coefficient is -1 s b = 1 c. The correct range for probability is -1 s p = 1 d. The correct range for the probability of committing a Type | error is -1 s as 1