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6. The following equation was estimated from quarterly data from 19.75.1 to 1990.4: Yt = -10.658 + 0.140X1 + 0.865X2 se(Bo) = 22.870, se(B1) = 0.056, se(B2) = 0.057 ESS = 6.4 x 106, RSS = 0.019 x 106 a. Calculate R2 and R2. b. Determine which of the slope coefficients are significantly different from zero at the 5% level. c. Calculate the F statistic and determine the significance of the equation at the 5% level. Note SSR that F = k - 1 SSE for multiple linear regression, where k is the number of parameters included in n - k the model. 7. Which of the following equations may be analyzed using the linear regression method and explain why. (a) Y = Bit B2X4 + = (b ) Y = eBitB2X+e (c) Y = B1+ X te