Based on the graphs, which type of model is likely appropriate for predicting weight from height?
Answer
A
A linear model is appropriate because the graph of the transformed data is roughly linear.
B
An exponential model is appropriate because the scatterplot of log height versus log weight has a stronger linear relationship than the scatterplot of the non-transformed data.
C
A power model is appropriate because the scatterplot of height versus weight appears curved.
D
A power 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.