1. We are given 4 sample data of (demand, price) where x, denotes the price in period t and y, denotes the demand in period t as shown in the table. 3 4 2 1 2 3 4 Applying the regression technique, we seek a linear function that gives best fit to the data. (a) Fill in the blanks below. number of sample T 4 sum of xx, 8 mean of x|/ sum of square of x x 18 mean square of deviation, variance of x 0.5 sum of yly, 12 mean of yL. sum of square of yly mean square of deviation, variance of yLy 3.5 sum of product of x and yxy, 25 covariance of x and yLy 0.25 slope of best-fit linear function 7 y-intercept of best-fit linear function