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Mahrita.Harahap@uts.edu.au Maths Study Centre CB04.03.331 Open 11am – 5pm Semester Weekdays Check out www.khanacademy.org www.khanacademy.org This presentation can be found at: www.mahritaharahap.wordpress.com/teaching-areas/ www.mahritaharahap.wordpress.com/teaching-areas/ Marking Scheme: 0 if less than 50% attempted, 1 for more than 50% attempted but less than 50% correct, 2 if more than 50% correct.
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What heteroskedasticity is: Recall that one of the assumptions for applying Ordinary Least Squares is that the variance of the residuals is constant V(ε)=σ 2 Otherwise known as Homoscedastic. If the residuals do not have constant variance, they are said to be Heterocedastic. When residuals are heteroscedastic (non-constant variance), we can fix them either by: *Transforming y to stabilise the variance - If series that are growing exponentially often appear to have increasing variability as the series rises over time, view logarithmized data. *Apply a weighted least squares estimation method, in which OLS is applied to transformed or weighted values of X and Y. The weights vary over observations, usually depending on the changing error variances. *Use a different specification for the model (different X variables).
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A) Testing for Association between two variables: H o : No association between the two variables (in the population) so any pattern we see is just due to random variation. H a : An association exists between the two variables (in the population). Test Stat: X 2 follows a chi-squared distribution with (rows-1)×(columns-1) degrees of freedom. If X 2 X 2 (rows-1)×(columns-1), this means p-value>α, so we do not reject the null hypothesis. We do not have enough statistical evidence to prove an association exists between the two variables
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B), C), D) and E) You can carry over the Gender*GP visits Cross Tabulation table to Excel by right clicking the table and select “copy special”, select “excel worksheet” then pasting on Excel to find your Odds=p/(1-p), Odds Ratios and Relative Risk Ratios. D) Odds Ratios are defined as the ratio of success to failure: Odds Ratio (female vs male)=Odds(female)/Odds(male) The odds for a female visiting the GP 3 or more times are ….. times higher than the odds of a male visiting the GP 3 or more times. E)Relative Risk (female vs male)= The relative risk for females visiting the GP 3 or more times is …. times higher compared to males.
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F) same as A) G) same as B) H) same as D)
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