Property
Variables that increase or decrease at a constant rate can be described by linear equations. To model this, treat two related data pairs as points (x1β,y1β) and (x2β,y2β). First, compute the slope (rate of change), then substitute the slope and either point into the point-slope formula to find the governing equation.
Examples
- A taxi ride costs 10 dollars for 2 miles and 16 dollars for 4 miles. Let cost be C and distance be d. The points are (2,10) and (4,16). The slope (cost per mile) is m=4β216β10β=3. The equation is Cβ10=3(dβ2).
- A tree was 8 feet tall in 2015 and 14 feet tall in 2018. Let height be H and the year be t (with t=0 in 2015). The points are (0,8) and (3,14). The slope is m=3β014β8β=2 feet per year. The equation is H=2t+8.
- A phone plan costs 40 dollars for 5 GB of data and 50 dollars for 10 GB. Let cost be C and data be D. The points are (5,40) and (10,50). The slope is m=10β550β40β=2 dollars per GB. The equation is Cβ40=2(Dβ5).
Explanation
Real-world scenarios with a steady rate of change can be modeled using a linear equation. This allows you to make predictions by finding the line's equation from just two data points, like cost over time or distance versus speed.