Mathematics, 25.07.2020 18:01 rendaescamilla

In a regression analysis of a first-order model involving 3 predictor variables and 25 observations, the following estimated regression equation was developed. Ŷ = 10 - 18x1 + 3x2 + 14x3 Also, the following standard errors and the sum of squares were obtained. sb1 = 3 sb2 = 6 sb3= 7 SST = 4800 SSE = 1296 At the 5% level, the coefficient of x2 a. is not found to be significant. b. is significant. c. cannot be tested, because not enough information is provided. d. should be estimated again, because it is incorrect in the above equation

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In a regression analysis of a first-order model involving 3 predictor variables and 25 observations,...

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