Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: SX = 90 S (Y - )(X - ) = -156 SY = 340 S (X - )2 = 234 n = 4 S (Y - )2 = 1974 SSR = 104 The Y intercept is: Question 9 Select one: a. -0.667 b. 0.667 c. 100 d. -100
Added by Shawn G.
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We can use the following formulas: Mean of X (X̄) = SX / n Mean of Y (Ȳ) = SY / n Plugging in the given values: X̄ = 90 / 4 = 22.5 Ȳ = 340 / 4 = 85 Show more…
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A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). Σx = 90 Σ(y - ȳ)(x - x̄) = 466 Σy = 170 Σ(x - x̄)2 = 234 n = 10 Σ(y - ȳ)2 = 1434 SSE = 505.98 The least squares estimate of the intercept or b0 equals a) -1.991. b) .923. c) -.923. d) 1.991.
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