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Introduction to Regression Lecture 6.2

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1 Introduction to Regression Lecture 6.2
Review of indicator variables More on mammals Review of course Annual Examination, 2008 Diploma in Statistics Introduction to Regression

2 Review of indicator variables
2-sample t as One-way ANOVA Regression on sample indicator Diploma in Statistics Introduction to Regression

3 Two-sample T for Recovery
Method N Mean StDev SE Mean A B Difference = mu (A) - mu (B) Estimate for difference: 95% CI for difference: (-2.423, ) T-Test of difference = 0 (vs not =): T-Value = P-Value = DF = 22 Both use Pooled StDev = Diploma in Statistics Introduction to Regression

4 One-way ANOVA: Recovery versus Method
Source DF SS MS F P Method Error Total S = R-Sq = 28.50% R-Sq(adj) = 25.25% Level N Mean StDev A B Diploma in Statistics Introduction to Regression

5 Regression Analysis: Recovery versus Method_A
Predictor Coef SE Coef T P Constant Method_A S = Analysis of Variance Source DF SS MS F P Regression Residual Error Total Diploma in Statistics Introduction to Regression

6 Regression Analysis: Recovery vs Method_A, Method_B
Predictor Coef SE Coef T P Noconstant Method_A Method_B S = Analysis of Variance Source DF SS MS F P Regression Residual Error Total Diploma in Statistics Introduction to Regression

7 More on mammals Diploma in Statistics Introduction to Regression

8 Mammal clusters? Diploma in Statistics Introduction to Regression

9 Course Outline Review of Simple Linear Regression Initial analysis
Linear model Prediction formula Estimation and Testing Correlation Non-linear relationships the log transformation, and others Diploma in Statistics Introduction to Regression

10 Course Outline Multiple regression analysis Initial data analysis
Least squares fit and interpretation Diagnostic analysis of residuals Application Special topics indicator variables correlated explanatory variables model selection Diploma in Statistics Introduction to Regression

11 Course Outline Issues in interpreting regression "cause and effect"
control of study environment observational studies vs controlled experiments Specialisations and extensions a list! Statistical computing laboratories Diploma in Statistics Introduction to Regression

12 Course Outline Case Study:
Public-Private Wage Differentials in Ireland, by G. Boyle, R. McElligott and J. O'Leary, ESRI Quarterly Economic Commentary, Summer 2004 Diploma in Statistics Introduction to Regression

13 Serial correlation, a cautionary tale
Analysis of a food commodity index Simple linear trend analysis: unexpected coefficients estimates Advice: draw a scatterplot Action: consult an econometrician, calculate Durbin-Watson test, significant, serial correlation apply Cochrane-Orcutt method no help Diploma in Statistics Introduction to Regression

14 What the data looked like
Diploma in Statistics Introduction to Regression

15 Annual Examination, 2008 Diploma in Statistics
Introduction to Regression

16 Annual Examination, 2008 Diploma in Statistics
Introduction to Regression

17 Annual Examination, 2008 Diploma in Statistics
Introduction to Regression

18 Good luck! Diploma in Statistics Introduction to Regression


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