Question

the equation for the line of best fit is $y = 2x + 2.5$.
in this context, what does the $y$-intercept tell you?
for every $2.5^circ$f increase in temperature, there would be about 2 more
sledders.
for every $2^circ$f increase in temperature, there would be about 2 to 3
more sledders.
at a temperature of $0^circ$f, you could expect about 2 to 3 sledders.
a temperature increase of $1^circ$f results in about 2 more sledders.

Explanation:

The line of best fit is \(y = 2x + 2.5\), where the y-intercept is 2.5. In context (temperature vs. sledders), the y-intercept represents the expected number of sledders when temperature (\(x\)) is 0°F. 2.5 is approximately 2 to 3, so this option correctly interprets the y-intercept. Other options describe the slope (rate of change), not the y-intercept.

Answer:

At a temperature of 0°F, you could expect about 2 to 3 sledders.