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10. The following is the simple linear regression analysis output: E(Y) = Bo + BI (ADV_X) The REG Procedure Model : MODEL ! Dependent Variable:

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10. The following is the simple linear regression analysis output: E(Y) = Bo + BI (ADV_X) The REG Procedure Model : MODEL ! Dependent Variable: SALES_Y Analysis of Variance Sum of Mean Source OF Squares Square F Value Pr > F Model 4.90000 4.90000 13.36 0.0354 Error au- 1. 10600 0.36667 Corrected Total 6.00000 Root MSE 0.60553 R-Square 0.8167 Dependent Mean 2.00000 Adj R-Sa 0.7556 Cooff Var 30.27650 Parameter Estimates Parameter Standard Variable DF Estinate Error t Value Pr > It: 95% Confidence Linits Intercept -0. 10000 0.63509 ADV_X 0.70000 0.19149 What is the p-value of the two-tailed t-test with the null hypothesis: P. = 0? a) 0.0001 b) 0.0354 c) 0.0708 d) 0.5000

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