Variables

Previous exam to used in studies 1. a) Heteroskedasticity is a statistical term that refers to differing variance that is if the sequence of random variables has different variances. omissible correlation or Multicollinearity is a situation where by variables atomic number 18 so highly correlated with each other that it is heavy to come up with reliable estimates of their individual regression coefficients. This disturb render the inferences of multiple regression equation unreliable because they belt down p-values misleading and the regression coefficients; confidence intervals become very significant and may vary dramatically with addition or excreting of just one. They inflate the variables of parameter estimates that lead to lack of statistical significance. They are detected by examining tolerance which is a saloon of collinearly and variance inflation factor (VIF) which measures impact of collinearly. Regression synopsis in such situation can be playin g period by increasing sample size of your study and by centering variables. 2. a) Expected demand = (8000x0.15) + (9000x0.30) + (12000x0.30) + (14000x0.15) + (16000x0.10) = 11200 units E (profit) = 11200(250-180) 700000 = Sh.

84000 Standard diversion = Square root of variance ! = 2131 units P (profit = 50000) z = profits E (profit) / standard deviation; z is the standard traffic pattern diffusion z = (50000 84000)/ 2131x70 = -0.23 Using the z table, P (profit = 50000) = 0.5 0.0910 = 0.42...If you loss to become a full essay, order it on our website: BestEssayCheap.com

If you want to get a full essay, visit our page: cheap essay