Variables

Previous exam to utilize in studies 1. a) Heteroskedasticity is a statistical term that refers to differing variance that is if the ecological succession of random variables has different variances. sequent correlation or Multicollinearity is a situation where by variables atomic number 18 so highly correlated with each other that it is arduous to come up with veritable estimates of their individual fixing coefficients. This gall render the inferences of multiple regression equation unreliable because they consume p-values misleading and the regression coefficients; self-reliance intervals plump very sizeable and may vary dramatically with addition or excretion of just one. They inflate the variables of argumentation estimates that lead to lack of statistical significance. They are detected by examining tolerance which is a pulsation of collinearly and variance inflation agentive role (VIF) which measures impact of collinearly. Regression summary in such situation can be yield by increasing consume size of your study and by centering variables. 2. a) Expected require = (8000x0.15) + (9000x0.30) + (12000x0.30) + (14000x0.15) + (16000x0.10) = 11200 units E (profit) = 11200(250-180) 700000 = Sh.

84000 Standard parenthesis = Square root of variance = 2131 units P (profit = 50000) z = Profit E (profit) / standard deviation; z is the standard normal dispersion 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, tell apart it on our website: Ordercustompaper.com

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