Given the information about the graph titled "Monthly Sales and Advertising Costs," with a slope of 15, let's analyze the statements regarding the data of the scatterplot:
-
The slope represents the rate of change of the data.
- True. The slope indicates how much sales change relative to changes in advertising costs.
-
Advertising costs increase $15,000 as sales increase by $1,000.
- False. The slope of 15 means that for each additional $1,000 spent on advertising, sales increase by $15,000, not the other way around.
-
Sales increase $15,000 as ads increase by $1,000.
- True. The slope of 15 indicates that an increase of $1,000 in advertising costs leads to an increase of $15,000 in sales.
-
A positive slope infers a negative correlation.
- False. A positive slope indicates a positive correlation; as one variable increases, the other also tends to increase.
-
A positive slope infers a positive correlation.
- True. A positive slope indicates that there is a positive correlation between advertising costs and sales.
In summary, the correct statements to check are:
- The slope represents the rate of change of the data.
- Sales increase $15,000 as ads increase by $1,000.
- A positive slope infers a positive correlation.