To analyze the predictions based on the line of fit \( y = 9.37x + 5 \), where \( y \) represents the tolls paid and \( x \) represents the number of miles driven, we can evaluate each statement one by one.
-
You spend $42 to drive 100 miles:
- Substitute \( x = 100 \) into the equation: \[ y = 9.37(100) + 5 = 937 + 5 = 942 \] So for 100 miles, you would pay $942, not $42. This statement is false.
-
If you drove 10 miles you would pay $42:
- Substitute \( x = 10 \) into the equation: \[ y = 9.37(10) + 5 = 93.7 + 5 = 98.7 \] So for 10 miles, you would pay approximately $98.70, not $42. This statement is false.
-
You can spend less than $30 to go 75 miles:
- Substitute \( x = 75 \) into the equation: \[ y = 9.37(75) + 5 = 703.25 + 5 = 708.25 \] So for 75 miles, you would pay approximately $708.25, which is much more than $30. This statement is false.
-
You can drive 50 miles and spend less than $20:
- Substitute \( x = 50 \) into the equation: \[ y = 9.37(50) + 5 = 468.5 + 5 = 473.5 \] So for 50 miles, you would pay approximately $473.50, which is significantly more than $20. This statement is false.
Based on our calculations, all four statements provided about tolls based on the line of fit are false.