# 12.2.1.2 - Example: Age & Height

12.2.1.2 - Example: Age & HeightData concerning body measurements from 507 adults retrieved from body.dat.txt for more information see body.txt. In this example we will use the variables of age (in years) and height (in centimeters).

**Research question: **Is there a relationship between age and height in adults?

1. Check assumptions and write hypotheses

Age (in years) and height (in centimeters) are both quantitative variables. From the scatterplot below we can see that the relationship is linear (or at least not non-linear).

\(H_0: \rho = 0\)

\(H_a: \rho \neq 0\)

2. Calculate the test statistic

From Minitab Express:

Pearson correlation of Height (cm) and Age = 0.067883 |

P-Value = 0.1269 |

\(r=0.067883\)

3. Determine the p-value

\(p=.1269\)

4. Make a decision

\(p > \alpha\) therefore we fail to reject the null hypothesis.

5. State a "real world" conclusion.

There is not evidence of a relationship between age and height in the population from which this sample was drawn.