Acompany has recorded data on the daily demand for its product (y in thousands of units) and the unit price (x in hundreds of dollars). a sample of 9 days demand and associated price resulted in the following data. x(xi−x¯)(yi−y¯) = 5930 x(xi−x¯) 2 = 2586 ¯x = 14 ¯y = 41 sse = 124 ssr = 980

(a) using the above information, develop the least-squares estimated regression equation.
(b) compute the coefficient of determination.
(c) calculate an unbiased estimate of σ 2 , the varaince of the error term .
(d) perform an f test and determine whether or not there is a significant linear relationship between demand and unit price. let α = 0.05.
(e) perform a t test to determine whether the slope is significantly different from zero. let α = 0.05.