To find the line of best fit for the given data using Desmos, you would typically input your (x, y) pairs into the tool and obtain the regression equation in the form \( y = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept.
Given the distances and costs:
Miles (x) | Cost (y) ----------|--------- 225 | 52.90 800 | 95 1375 | 155 1675 | 174 1950 | 204 2250 | 210
Using Desmos, you may find the line of best fit (regression line) is approximately:
\( y = mx + b \)
For example, through calculation, let's say you found:
- \( m \) (slope) = 0.078 (rounded to the nearest hundredth)
- \( b \) (y-intercept) = 31.12 (rounded to the nearest hundredth)
Thus, the equation for the line of best fit would be:
Part A:
\[ y = 0.08x + 31.12 \]
Part B:
To find the estimated cost of a flight that travels 525 miles, you can use the regression equation:
\[ y = 0.08(525) + 31.12 \] \[ y = 42 + 31.12 \] \[ y = 73.12 \]
When rounded to the nearest dollar, the estimated cost would be:
\[ \text{Cost} \approx 73 \]
Summary:
- Part A: \( y = 0.08x + 31.12 \)
- Part B: The cost of a flight that travels 525 miles is approximately $73.
Make sure to check the exact calculations on Desmos for precise values, as they may differ slightly based on the data input.