Use the image to answer the question.
A scatterplot shows the number of ice cream cones sold versus temperature. The horizontal axis shows temperature, in degrees Fahrenheit, ranging from 25 to 90 in increments of 5, with an initial jump from 0 to 25. The vertical axis shows the number of ice cream cones sold, ranging from 0 to 60 in increments of 10. A kink is shown on the horizontal axis close to origin. A dot is plotted at 56 on the horizontal axis and 22 on the vertical axis. A loosely packed cluster of data plots is plotted between 71 to 81 on the horizontal axis and 26 to 46 on the vertical axis. A loosely packed cluster of data plots is plotted between 82 to 90 on the horizontal axis and 36 to 57 on the vertical axis.
The graph shows the number of ice cream cones sold during specific temperatures in the month of June. Is there an outlier? Use 1 for Yes and 2 for No.
(1 point)
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2
To answer this question, we need to examine the scatterplot and identify any data points that appear to be significantly different from the other data points. An outlier is a data point that lies outside the general pattern of the data, so we are looking for any points that seem to be far away from the rest.
From the description of the scatterplot, we know that there is a loosely packed cluster of data plots between 71 to 81 on the horizontal axis and 26 to 46 on the vertical axis. We also know that there is another loosely packed cluster of data plots between 82 to 90 on the horizontal axis and 36 to 57 on the vertical axis.
However, there is also a dot plotted at 56 on the horizontal axis and 22 on the vertical axis. This point is far away from the rest of the data and does not fit within any of the clusters. Therefore, this data point can be considered an outlier.
So, the answer to the question is 1 - Yes, there is an outlier in the data.