Let's analyze the problem and answer each part step by step based on the scatter plot and line of best fit:

(a) As the number of hours worked increases, the amount of money spent tends to increase.

This is because the line of best fit slopes upward, indicating a positive relationship between hours worked and money spent.

(b) There is a positive correlation between the number of hours worked and the amount of money spent.

The upward trend in the scatter plot confirms a positive correlation, meaning that as hours worked increase, the money spent also increases.

(c) Using the line of best fit:

To predict the money spent for 8 hours worked, we can estimate from the graph. At approximately 8 hours, the line of best fit aligns with around $20 on the vertical axis.

Final Answers:

1. (a): Increase
2. (b): Positive
3. (c): $20

Do you need further details about interpreting scatter plots, the line of best fit, or correlation? Let me know!

Related Questions:

1. What does a negative correlation look like on a scatter plot?
2. How do you calculate the equation of a line of best fit?
3. What are the possible types of correlation (positive, negative, or none)?
4. How can you use a line of best fit to make predictions for data?
5. What does it mean if the points on a scatter plot are widely spread?

Tip:

A line of best fit is used to approximate data trends; it may not pass through all the points but minimizes the overall error.