The problem tells you to assume a linear model. That means you can think of the data as lying roughly on a straight line. What is the overall rate of change in chirps per minute as temperature increases from 60°F to 80°F?

Once you know the slope (chirps per degree), use one of the data points to write an equation in the form $y = mx + b$, where $x$ is temperature and $y$ is chirps per minute.

After you have an equation, plug in $x = 68$ to find the predicted chirps per minute, and then choose the answer choice closest to that value.

Create a table in Desmos with $x_1$ as temperature and $y_1$ as chirps per minute, and input the five points: $(60, 80)$, $(65, 88)$, $(70, 95)$, $(75, 100)$, and $(80, 110)$.

Below the table, type y1 ~ m x1 + b to let Desmos compute a linear regression. Desmos will display estimated values for $m$ (slope) and $b$ (y-intercept), giving you an equation of the form $y = mx + b$ that models the data.

In a new expression line, type m*68 + b using the $m$ and $b$ values from the regression. The numerical result is the predicted chirps per minute at $68^\circ\text{F}$; compare this value to the answer choices.

The table shows that as temperature increases, the chirps per minute also increase in a roughly straight-line pattern. To create a linear model, pick two convenient points from the table, such as $(60, 80)$ and $(80, 110)$, where the first number is temperature and the second is chirps per minute.

Use the two chosen points to find the slope $m$ of the line.

This means the model predicts that for each 1°F increase in temperature, the chirp rate increases by about $1.5$ chirps per minute.

Use slope-intercept form $y = mx + b$ and one of the points to find $b$.

Using point $(60, 80)$:

So an equation that models the data is

where $x$ is the temperature in °F and $y$ is the chirps per minute.

Substitute $x = 68$ into the equation to estimate the chirp rate:

So the best estimate of the number of chirps per minute at $68^\circ\text{F}$ is $92$, which corresponds to choice B) 92.