Question

1. mr. lopezs 12th-grade biology class wondered whether they could predict a persons height at age 20 if they knew the persons height at age 16. the class collected data and displayed it as a scatterplot. do you think you could predict persons height at age 16 by knowing their height at age 20? explain your reasoning.

Explanation:

To determine if height at age 20 can predict height at age 16, we analyze the scatterplot. A positive linear association (points trend upward from left to right) suggests a relationship. Here, as height at 16 (x - axis) increases, height at 20 (y - axis) generally increases, indicating a positive correlation. Since there's a linear trend, we can use it (e.g., line of best fit) to predict, though predictions won't be perfect due to variability, the trend supports predictability.

Answer:

Yes, we can predict a person's height at age 16 by knowing their height at age 20. The scatterplot shows a positive linear association (as height at age 16 increases, height at age 20 generally increases), so we can use the trend (e.g., a line of best fit) to make predictions, though there will be some error due to data variability.