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Mathematics, 07.04.2021 20:10 lukeperry

Many Texas cities have experienced substantial growth in population over the last 20 years. The growth of Houston, Texas, since 2015 is shown in the scatterplot. A least-squares equation that relates the number of years since 2015 to the population of that year (in millions) is given by Population hat = 0.025 (year) + 2.01. A graph titled Houston Population versus years since 2005 has years since 2005 on the x-axis, and population (millions) on the y-axis. A line of best fit goes through (4, 2.1) and (10, 2.25)

A graph titled Residuals versus years since 2005 has years since 2005 on the x-axis, and residual on the y-axis. The points curve down, and then curve back up.

Based on the residual plot, is a linear model suitable for modeling the population growth of Houston?

A linear model is suitable because a pattern is evident in the residual plot.
A linear model is not suitable because the residuals do not cluster around zero.
A linear model is not suitable because the residual plot shows a curved pattern.
A linear model is suitable because the residuals seem to be randomly scattered.


Many Texas cities have experienced substantial growth in population over the last 20 years. The gro
Many Texas cities have experienced substantial growth in population over the last 20 years. The gro

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