A teacher took an anonymous survey in one class and then posted the students’ heights and weights on a scatterplot. What point is the outlier?

(1 point)
Responses

(63,122)
left parenthesis 63 comma 122 right parenthesis

(64,125)
left parenthesis 64 comma 125 right parenthesis

(60,123)
left parenthesis 60 comma 123 right parenthesis

(61,95)

To determine the outlier on the scatterplot, you need to identify the point that deviates significantly from the overall pattern or trend of the data.

In this case, you have the students' heights and weights as data points. Consider the overall distribution of the data and look for any points that appear to be far away from the majority of the other points.

Given the options you provided:

(63,122)
(64,125)
(60,123)
(61,95)

To identify the outlier, you can compare the values of each point to the others. In this case, you can compare the height and weight values individually.

Looking at the height values, none of the options stand out as significantly different from the others.

However, when examining the weight values, (61,95) stands out as an outlier because it has a much lower weight compared to the other points.

Therefore, the outlier point in this scatterplot is (61,95).

Based on the given information, the point (61, 95) is the outlier.

To determine the outlier in the scatterplot of heights and weights, we need to compare the values with the rest of the data points. Without knowing the complete data set, it is difficult to identify the outlier with certainty. However, based on the given options, the point that seems to deviate significantly from the others is (64,125). Therefore, the outlier in this case appears to be (64,125) or "left parenthesis 64 comma 125 right parenthesis."