What is the response to pain expected for a person with obesity of 50%? Is this prediction reliable?

Choosing Regression Models

Use the table provided for Question 1 in the Excel file and answer the following questions:
Using Excel’s trendline feature, find which type of model best fits the data, going by the r-value.
Find the equation of the trendline and use it to predict the value of Y corresponding to an X-value of 2.5.

Question 2
Rhudy and France  studied the relation between obesity and the response to pain. Obesity was measured as the percentage over the ideal weight, and the response to pain as the nociceptive flexion reflex threshold. The results of the study appear in the table, labeled Question 2 in the Excel file. Based on that, answer the following questions:
According to the scatter plot, which model explains better the relation of the response to pain on obesity: linear, exponential, quadratic, or logarithmic?
According to the best regression model, what is the response to pain expected for a person with obesity of 50%? Is this prediction reliable?
According to the best regression model, what is the expected pain threshold for a person with obesity of 4.5%? Is this prediction reliable?