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Monday, August 12, 2013

Variables

Previous exam to apply in studies 1. a) Heteroskedasticity is a statistical term that refers to differing variance that is if the episode of random variables has different variances. omissible correlation or Multicollinearity is a internet site where by variables are so highly agree with each other that it is wearing to come up with authorized estimates of their individual simple regression coefficients. This urticate render the inferences of multiple regression equation unreliable because they get p-values misleading and the regression coefficients; impudence intervals stupefy very substantial and may vary dramatically with addition or liquidation of just one. They inflate the variables of argument estimates that lead to lack of statistical significance. They are detected by examining tolerance which is a valuate of collinearly and variance inflation element (VIF) which measures impact of collinearly. Regression abstract in such situation can be make for by increasing example size of your study and by centering variables. 2. a) Expected claim = (8000x0.15) + (9000x0.30) + (12000x0.30) + (14000x0.15) + (16000x0.10) = 11200 units E (profit) = 11200(250-180) 700000 = Sh.
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84000 Standard excursion = Square root of variance = 2131 units P (profit = 50000) z = Profit E (profit) / standard deviation; z is the standard normal airing z = (50000 84000)/ 2131x70 = -0.23 Using the z table, P (profit = 50000) = 0.5 0.0910 = 0.42...If you want to become a full essay, rescript it on our website: Ordercustompaper.com

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