Question

Suppose I have been gathering measurements of the ages of boys and their heights. I find that (overall) the older a child is, the taller he is. Based on that information, I made an equation that predicts the height of a child, just based on that boy's age. That equation would be an example of a:

a) Linear model
b) Graph
c) Regression model
d) Exponential model

Answer 1

The equation that predicts the height of a child based on their age is an example of a regression model. An example of a regression equation could be: height = 2*age + 10. In this equation, age is the independent variable and height is the dependent variable.

Step-by-step explanation:

The equation that predicts the height of a child based on their age is an example of a Regression model.

To determine if the equation is a regression model, you need to consider the nature of the relationship between the variables - age and height. If the older a child is, the taller they are, then there is a clear pattern, which can be expressed through a regression equation.

An example of a regression equation could be: height = 2*age + 10. In this equation, age is the independent variable and height is the dependent variable.