The equation for the line of best fit is \( y = 1.25x + 0.2 \), where \( y \) represents the height of the maple trees, and \( x \) represents their age.
From this equation, we can interpret several aspects:
-
Slope (1.25): For every increase of 1 year in age (\( x \)), the height of the trees (\( y \)) increases by 1.25 units. This indicates a positive relationship between age and height of the maple trees—older trees are expected to be taller.
-
Y-intercept (0.2): When the age of the tree (\( x \)) is 0 (i.e., when the tree is newly planted), the expected height (\( y \)) is 0.2 units. This suggests that the trees have a small initial height when they are just planted.
To determine which statement is true based on this equation, you would need to compare options or statements given in a list. From the information we have, you can verify statements related to the slope, y-intercept, or the general relationship between age and height.
If you have specific statements or options that you're considering, please provide them, and I can help identify which one is true based on the given equation!