The daily print publication of newspapers has declined in many large cities over the past 25 years. The Philadelphia Inquirer weekday print circulation was at its highest in 2001, with an average daily circulation of 226,000 copies, and has decreased every year since then. To develop a linear model for estimating yearly circulation, the log of the daily circulation in thousands was taken. A graph titled log (Circulation) versus Years since 2000 has years since 2000 on the x-axis, and log (circulation) on the y-axis. Points decreases in a line with negative slope.

A graph titled Residuals versus years since 2000 has years since 2000 on the x-axis, and residual on the y-axis. Points are scattered throughout the graph.

Based on the scatterplot of the transformed data and the residual plot, which type of model is appropriate for estimating print publication each year?

A linear model is appropriate because the residual plot does not show a clear pattern.
A power model is appropriate because the scatterplot of years and the log of circulation is roughly linear.
An exponential model is appropriate because the scatterplot of years and the log of circulation is roughly linear and the residual plot shows no distinct pattern.
Both an exponential and a power model would be appropriate because the log of circulation was used to develop the model.