To make a prediction based on the scatterplot, we need to look at the trend or the relationship between the number of customers and the number of bottles of water sold. If a trend is apparent, we can use it to estimate the number of bottles of water sold when the park has 64 customers.
However, since we don't have the actual scatterplot in front of us, let's outline the general steps you would take to make a prediction:
1. **Visualize the Trend**: Look at the overall pattern in the scatterplot. Often, you might see a linear trend where the number of bottles of water sold increases as the number of customers increases.
2. **Find a Best-Fit Line**: If a linear trend is clear, you can draw a line of best fit (either through visual inspection or by using statistical methods such as linear regression).
3. **Use the Best-Fit Line**: Once you have the best-fit line equation (usually in the form \( y = mx + b \), where \( y \) is the number of bottles of water, \( x \) is the number of customers, \( m \) is the slope, and \( b \) is the y-intercept), you can use it to make predictions.
4. **Plug in the Number of Customers**: Substitute \( x \) with 64 in the best-fit line equation to predict the number of bottles of water sold.
In absence of the specific scatterplot and thus not being able to compute the exact best-fit line, let's make some hypothetical analysis based on the provided responses:
Responses:
A. 49
B. 29
C. 39
D. 8
Out of these options, reasonable intuition would suggest the best prediction should comfortably fall within a logical range based on observed general trends.
Given that the amusement park had 64 customers, option D (8 bottles of water) seems very low considering the context. It implies a much lower sales quantity than what one would expect. Similarly, option A (49) might be considered quite high unless the scatterplot indicates a very steep upward trend.
This leaves us with options B (29) and C (39).
Without the specific data, a precise prediction is challenging, but a middle value could be appropriate. Therefore, option C (39) might be considered a reasonable estimate, assuming a moderate to high consumption trend.
Thus, the best prediction for the number of bottles of water sold on a day with 64 customers could be:
C. 39
The scatterplot shows the number of customers and the number of bottles of water sold at an amusement park over a 10-day period.
Based on the scatterplot, which of these is the best prediction for the number of bottles of water sold on a day where the amusement park had 64 customers?
Responses
A 4949
B 2929
C 3939
D 88
1 answer