Statistics Question

The regression equation is:
Height = 6.5235(Age) + 75.9137

Input and output variables:
The input variable (x) is Age in years.
The output variable (y) is Height in centimeters.
The value 75.9137 represents the predicted height at age 0 (the y-intercept).

Correlation coefficient:
r = 0.9898
This indicates a very strong positive linear relationship between age and height. As age increases, height increases nearly perfectly linearly.

Coefficient of determination:
R = 0.9797
This means about 97.97% of the variation in height can be explained by age using this linear model. This shows the model fits the data extremely well.

Appropriate interval of ages:
This regression equation is appropriate for ages 1 to 11 years, since that is the range of the data used to build the model. Predictions outside this range may not be reliable.