Use the image to answer the question.%0D%0A%0D%0A%0D%0A%0D%0AA teacher took an anonymous survey in one class and then posted the students’ heights and weights on a scatterplot. What point is the outlier?%0D%0A%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0A(61,95)%0D%0Aleft parenthesis 61 comma 95 right parenthesis%0D%0A%0D%0A(60,123)%0D%0Aleft parenthesis 60 comma 123 right parenthesis%0D%0A%0D%0A(63,122)%0D%0Aleft parenthesis 63 comma 122 right parenthesis%0D%0A%0D%0A(64,125)
Based on the information provided, we cannot determine the outlier without the scatterplot image. Please provide the image for further analysis.
To determine the outlier in the scatterplot, we need to look for the point that is significantly different from the other points. In this case, we are given four data points: (61, 95), (60, 123), (63, 122), and (64, 125).
To identify the outlier, we can visually analyze the scatterplot. Since we don't have access to the image, I'll explain the process for you.
1. Plot the points on a graph with the height values on the x-axis and the weight values on the y-axis.
- Place a point at (61, 95).
- Place a point at (60, 123).
- Place a point at (63, 122).
- Place a point at (64, 125).
2. Examine the overall pattern of the scatterplot. Look for any points that deviate significantly from the general trend or clustering of the other points.
3. Compare the distances of each point to the other points. The outlier will typically be the one that is located the farthest from the other points or does not follow the general pattern.
Based on this analysis, you should be able to identify the outlier point.