Final Answer:
Using the Morgan correlation, we predict that the cylinder's surface temperature will be
when applying the mid-value of the cylinder's temperature.
Step-by-step explanation:
The Morgan correlation is a powerful tool for predicting temperatures based on empirical data. To calculate the predicted temperature at
on the cylinder's surface, we use the correlation formula:
![\[ T_{\text{predicted}} = a + b \cdot T_{\text{observed}} \]](https://img.qammunity.org/2024/formulas/physics/high-school/2euoyirnat1vl8wtlnux32hqz1wfrodrdg.png)
where
is the predicted temperature,
is the observed temperature, and
and
are coefficients determined from the correlation. By substituting
, we can calculate

Next, let's delve into the interpretation of the result. The correlation's
and
coefficients encapsulate the relationship between observed and predicted temperatures. The value
represents the intercept, indicating the predicted temperature when the observed temperature is zero. Meanwhile,
is the slope, indicating the rate at which the predicted temperature changes concerning the observed temperature. Therefore, the predicted temperature at
is a reliable estimate derived from the Morgan correlation's established patterns.
In conclusion, the application of the Morgan correlation in predicting the cylinder's surface temperature at
involves substituting the observed temperature into the correlation formula. This process yields a reliable forecast, providing valuable insights into the thermal behavior of the cylinder's surface at the specified temperature.