Maggie’s Electronics is having a big sale on their smart televisions (TVs). The scatterplot shows the relationship between days on sale and the number of TVs left in stock.

Question

Select all statements that are true about this scatterplot.

Responses
About 7 televisions will be left in stock at the end of the 14th sale day.

About 7 televisions will be left in stock at the end of the 14 th sale day.
At the end of the 13th sale day, there will be about 20 TVs left.

At the end of the 13 th sale day, there will be about 20 TVs left.
The scatterplot shows a negative correlation.

The scatterplot shows a negative correlation.
The scatterplot shows a positive correlation.

The scatterplot shows a positive correlation.
As days on sale increase, the number of TVs left decreases.

As days on sale increase, the number of TVs left decreases.
As days on sale increases, the number of TVs left increases.

As days on sale increases, the number of TVs left increases.
There are about 15 TVs left at the end of the 9th sale day.

There are about 15 TVs left at the end of the 9th sale day.
There are about 34 TVs left at the end of the 4th sale day.

Answer 1

To provide an accurate analysis of the scatterplot, I need to make some assumptions based on the common trends observed in sales data and typical scatterplots of this nature. Here are the possible interpretations of the statements:

1. **About 7 televisions will be left in stock at the end of the 14th sale day.**
- This statement suggests a specific value on the scatterplot. If the downward trend continues as typical in sales events, and the scatterplot aligns with having approximately 7 TVs left by the 14th day, this could be correct.

2. **At the end of the 13th sale day, there will be about 20 TVs left.**
- For this statement to be true, the scatterplot must show a value close to 20 TVs remaining on day 13. Given a negative correlation, this seems less likely but not impossible depending on initial stock and sale rate.

3. **The scatterplot shows a negative correlation.**
- If the number of TVs left decreases as the days on sale increase, indicating that TVs are being sold, then this statement is true.

4. **The scatterplot shows a positive correlation.**
- A positive correlation would mean that as days on sale increase, the number of TVs left also increases, which is counterintuitive for a sale. Thus, this statement is likely false in the context of a sale where TVs are being sold over time.

5. **As days on sale increase, the number of TVs left decreases.**
- This aligns with typical sale behavior, indicating a negative correlation, and is therefore likely true.

6. **As days on sale increases, the number of TVs left increases.**
- This would suggest a positive correlation, which is not typical for a sale event where the number of items in stock decreases over time. Therefore, this statement is false.

7. **There are about 15 TVs left at the end of the 9th sale day.**
- This depends on the specific data points in the scatterplot. If there's a data point around 15 TVs on the 9th day, it would be true.

8. **There are about 34 TVs left at the end of the 4th sale day.**
- Similar to previous statements, this depends on the data point for the 4th day. If it shows around 34 TVs, the statement is true.

Based on typical sales trends, these are the most likely true statements:

- The scatterplot shows a negative correlation.
- As days on sale increase, the number of TVs left decreases.

The exact values for days 9, 13, and 14 (and the 4th day) can only be confirmed by looking at the specific data points on the scatterplot. If you have access to the scatterplot, compare these values to confirm their accuracy.