1. The equation for the best-fit line is y = 4800x - 378400, where y is the number of bottles of sunscreen sold and x is the number of years since 2010.
2. The supermarket can expect to sell approximately 24,000 bottles of sunscreen in 2025.
1.
Gather the data: The data points in the table are: (2013, 60200), (2014, 65000), (2015, 66300), (2016, 65200), and (2017, 70600).
Calculate the slope: Use the formula for the slope,
m =

where
and
are two data points.
Choose any two data points from the table. For example, using the points (2013, 60200) and (2014, 65000), the slope,
m =
= 4800 bottles/year.
Calculate the y-intercept: Use the formula for the y-intercept,
b =

where
is any data point and m is the slope calculated
Using the same point (2013, 60200) and the slope m = 4800, the y-intercept,
b = 60200 - (4800)(2013) = -378400.
Write the equation: The equation of the best-fit line is therefore
y = mx + b
where m = 4800 and b = -378400.
In this case, the equation is y = 4800x - 378400.
2.
Use the equation: Plug x = 15 (since 2025 is 15 years after 2010) into the equation
y = 4800x - 378400.
Calculate the predicted value:
y = (4800)(15) - 378400 = 24000.