1. Introduction to exploratory analysis.
1.1. Importance on tourism.
1.2. Statistical terms: populations, subpopulations, individuals and samples.
1.3. Types of variables and search for sources of official tourism data.
2. Analysis of univariate data.
2.1. Representations and graphics of qualitative variables.
2.2. Representations and graphics of quantitative variables.
2.3. Time series graphics.
2.4. Dependence among qualitative data.
2.5. Parameter comparison for different populations.
2.6. Dependence among quantitative data.
3. Simple Linear Regression Model.
3.1. Model hypotheses.
3.2. Transformations.
3.3. Estimation and confidence intervals for the coefficients.
3.4. Individual significance and t-test.
3.5. R-square.
3.6. Prediction.
3.7. Diagnostics.
4. Multiple Linear Regression Model.
4.1. Model hypotheses.
4.2. Transformations.
4.3. Estimation and confidence intervals for the coefficients.
4.4. Individual significance and t-test.
4.5. Adjusted R-square.
4.6. Prediction.
4.7. Diagnostics.
5. Time series and index numbers.
5.1. Time series plot.
5.2. Components.
5.3. Index number. definition.
5.4. Simple and complex index numbers.