The correlation coefficient \( r \) for a linear equation of the form \( y = mx + b \) (where \( m \) and \( b \) are constants) is determined by the slope \( m \) of the line. In this case, the slope \( m = 43 \).
The correlation coefficient \( r \) can range from -1 to 1. A positive slope indicates a positive correlation, while a negative slope indicates a negative correlation. Since \( m \) is positive, we expect \( r \) to be positive.
For a perfect linear relationship, \( r = 1 \). Given that the equation is a perfect linear equation, the correlation coefficient here should indeed be:
\[ r = 1.00 \]
So, the answer is:
1.00