Variables

Previous exam to employ in studies 1. a) Heteroskedasticity is a statistical term that refers to differing variance that is if the place of random variables has different variances. concomitant correlation or Multicollinearity is a circumstance where by variables atomic number 18 so highly correspond with each other that it is laboured to come up with received estimates of their individual fixing coefficients. This put out render the inferences of multiple regression equation unreliable because they wipe out p-values misleading and the regression coefficients; presumption intervals run very great and may vary dramatically with addition or excreting of just one. They inflate the variables of contestation estimates that lead to lack of statistical significance. They are detected by examining tolerance which is a esteem of collinearly and variance inflation grammatical constituent (VIF) which measures impact of collinearly. Regression compendium in such situation can be develop by increasing taste size of your study and by centering variables. 2. a) Expected call for = (8000x0.15) + (9000x0.30) + (12000x0.30) + (14000x0.15) + (16000x0.10) = 11200 units E (profit) = 11200(250-180) 700000 = Sh.

84000 Standard digression = Square root of variance = 2131 units P (profit = 50000) z = Profit E (profit) / standard deviation; z is the standard normal dissemination 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, point it on our website: Orderessay

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