A scatterplot shows the number of hours studied versus test grade.
The horizontal axis shows the number of hours studied, ranging from 0 to 10 in increments of 1. The vertical axis shows the test grade, ranging from 0 to 100 in increments of 5, starting with a jump from 0 to 35. A kink is shown on the vertical axis close to origin. A dot is plotted at 0.5 on the horizontal axis and 45 on the vertical axis. A loosely packed cluster of data plots is plotted between 1 to 4.5 on the horizontal axis and 77 and 98 on the vertical axis.
A math teacher gave a math test. Interpret the scatterplot to determine what point is the outlier.
Based on the given scatterplot, we can identify the outlier point as the one that deviates significantly from the general pattern observed. In this case, the outlier point is likely to be located far away from the loosely packed cluster of data plots.
Since the scatterplot does not show the exact positions for data points outside the range of 1 to 4.5 on the horizontal axis, we cannot determine the exact outlier point based solely on the information given. However, we can conclude that the outlier point would be some data point that is significantly different from the pattern observed in the rest of the data.
To pinpoint the outlier point, we would need additional information or a more detailed description of the scatterplot.