To determine the best prediction for the number of text messages sent by a student who is 68 inches tall:

1. Look at the scatter plot and observe the general trend or association between height and the number of text messages sent daily.

   • If the points show a consistent increase or decrease, there's a positive or negative association.
   • If the points are scattered randomly, there may be no association.

2. Find 68 inches on the x-axis (height) and locate the corresponding y-value (text messages sent daily) using the trend.

Answer Explanation:

• If there's a clear positive or negative trend, estimate the y-value for 68 inches based on the line or general direction of the points.
• If there’s no discernible pattern, the answer is D ("no association").

Let me know if you'd like me to analyze further with more context or details from the scatter plot!

Questions:

1. What does a positive association between two variables mean in a scatter plot?
2. How can we determine a line of best fit for a scatter plot?
3. What other types of correlation (besides positive and negative) can scatter plots exhibit?
4. Why might data in a scatter plot not allow for a prediction?
5. How does interpolation differ from extrapolation in scatter plot analysis?

Tip:

When analyzing scatter plots, always identify trends (linear, quadratic, etc.) before making predictions or concluding an association.