To determine the most strongly supported statement by the scatterplot, we need to interpret the general trend of the points.

1. Positive correlation: If older individuals tend to spend more time reading, the points on the scatterplot would show an upward trend as age increases.
2. Negative correlation: If older individuals tend to spend less time reading, the points would show a downward trend as age increases.
3. No correlation: If there is no apparent trend (points scattered randomly), it means no correlation exists.
4. Both positive and negative correlation: This would indicate distinct sections of the scatterplot where there are upward and downward trends, suggesting mixed results.

Given the options:

• If the scatterplot shows an upward trend overall, the answer is A.
• If the scatterplot shows a downward trend overall, the answer is B.
• If the scatterplot shows no discernible trend, the answer is C.
• If there are clear sections of both upward and downward trends, the answer is D.

From the description alone, option A ("There is a positive correlation...") is most likely correct, provided the scatterplot demonstrates an overall increasing trend.

If you can describe or upload the scatterplot, I can confirm this for you. Would you like to proceed?

Expanding Questions:

1. What patterns can help identify positive or negative correlation in a scatterplot?
2. How do outliers in a scatterplot affect correlation interpretation?
3. How can correlation strength (e.g., strong, weak) be visually assessed in a scatterplot?
4. What are some real-life examples where positive correlations are commonly observed?
5. How can a scatterplot with no correlation still provide useful data?

Tip: Always look for the direction of the overall trendline when interpreting scatterplots.