The provided least squares regression equation for the given data table is ỹ = 13.5x + 58.4, with an R-value of 0.977. The data table includes x-values (independent variable) and corresponding y-values (dependent variable) as follows:

x | y
-----------
0 | 65
2 | 82
4 | 107
6 | 134
8 | 174
Why would one opt for a linearized model instead of the given regression equation?

A. A linearized model provides a better fit to the data.
B. A linearized model is easier to calculate.
C. A linearized model allows for more accurate predictions.
D. A linearized model simplifies the interpretation of the relationship between x and y.