Based on these scatterplots, what type of model is most appropriate for summarizing the relationship between year and stock price? A linear model is appropriate because the scatterplot of the transformed data is roughly linear. An exponential model is appropriate because the scatterplot of time and log price is increasing. An exponential model could be appropriate because the scatterplot of log height versus log weight is roughly linear. The next step is to look at the residual plot. A power model is appropriate because the scatterplot of time and price shows a curved relationship.