The scatter plot below shows the length of stay and average daily rate paid by 37 hotel guests at a resort.
Which statement is MOST strongly supported by the scatter plot?
A
There is a positive correlation between the length of hotel stay and daily rates guests paid.
B
There is a negative correlation between the length of hotel stay and daily rates guests paid.
C
There is both a positive correlation and a negative correlation between the length of hotel stay and daily rates guests paid.
D
There is no correlation between the length of hotel stay and daily rates guests paid.
A - There is a positive correlation between the length of hotel stay and daily rates guests paid.
To determine the most strongly supported statement by the scatter plot, we need to evaluate the pattern of the data points.
If the points on the scatter plot form a general upward trend, it indicates a positive correlation. If the points on the scatter plot form a general downward trend, it indicates a negative correlation. If there is no clear pattern or trend, it suggests no correlation.
Based on the information provided, we need to analyze the scatter plot itself. Without the plot, it is not possible to provide an accurate answer.
To determine the correlation between the length of hotel stay and daily rates guests paid, we need to analyze the scatter plot.
The scatter plot represents the relationship between two variables, the length of stay (independent variable) and the daily rate paid (dependent variable). The x-axis represents the length of stay, while the y-axis represents the daily rate paid.
To determine the correlation, we need to look at the general pattern or trend in the data points on the scatter plot.
If the data points tend to form a positive slope or trend from the bottom left to the top right, then there is a positive correlation between the variables. This means that as the length of stay increases, the daily rates guests paid also tend to increase.
If the data points tend to form a negative slope or trend from the top left to the bottom right, then there is a negative correlation between the variables. This means that as the length of stay increases, the daily rates guests paid tend to decrease.
If there is no discernible pattern or if the data points are scattered randomly across the scatter plot, then there is no correlation between the variables.
Looking at the scatter plot in question, if the data points tend to form a positive slope or trend from the bottom left to the top right, we can conclude that there is a positive correlation between the length of hotel stay and the daily rates guests paid. Therefore, the statement MOST strongly supported by the scatter plot would be option A: "There is a positive correlation between the length of hotel stay and daily rates guests paid."