Question

partial is studying the relationship between the temperature and the number of bicyclists on a path the relationship can be represented by the line of best fit equation y = 8x +15, where x represents the temperature in degrees Celsius and y represents the number of bicyclists on the path, primal wants to know if he should expect there to be at least 10 bicyclists on the path if it is 0 Celsius tomorrow.

Should partial expect at least 10 bicyclists on the path tomorrow if the temperature is 0 Celsius? explain

partial should/should not expect there to be at least 10 cyclists on the path

According to the line of the best fit parimal should expect 8/15/23/95 bicyclists on the path if it is 0 Celsius outside.

Answer 1

To determine whether Partial should expect at least 10 bicyclists on the path when the temperature is 0 degrees Celsius, we can use the line of best fit equation provided:

\[ y = 8x + 15 \]

Here, \( x \) is the temperature in degrees Celsius, and \( y \) is the number of bicyclists.

If the temperature \( x = 0 \) degrees Celsius, we can substitute this value into the equation:

\[ y = 8(0) + 15 \]
\[ y = 0 + 15 \]
\[ y = 15 \]

Since the calculation shows that \( y = 15 \), Partial should expect at least 10 bicyclists on the path because 15 is greater than 10.

### Conclusion:
Partial **should** expect at least 10 bicyclists on the path tomorrow if the temperature is 0 degrees Celsius, as the line of best fit predicts 15 bicyclists.