1. If the equation in a model has a log transformation, the interpretation of the slope should be avoided.
2. Transformations such as logs or reciprocals are deter-mined by the position of outliers in a scatterplot.
3. The slope of a regression model which uses log x as a predictor is known as an elasticity.
4. Transformations in regression affect the r2 of the fitted model.
5. When returned to the original scale, the fitted values of a model with a transformed response produce a curved set of predictions.