Question%0D%0AUse 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)
Without the image, it is not possible to determine which point is the outlier. Please provide the image for further assistance.
To determine the outlier in the scatterplot, we need to identify the data point that does not follow the general trend or pattern of the other data points.
However, you have provided a question with multiple response options. To answer the question and identify the outlier, we need to examine the given points and their corresponding heights and weights. Let's look at each point:
1) (61, 95): This point has a height of 61 and a weight of 95.
2) (60, 123): This point has a height of 60 and a weight of 123.
3) (63, 122): This point has a height of 63 and a weight of 122.
4) (64, 125): This point has a height of 64 and a weight of 125.
To identify the outlier, we should look for the data point that significantly deviates from the general trend of the scatterplot. It would be helpful to visualize the scatterplot, but since we don't have access to the image, we can make an educated guess based on the given points.
Based on the limited information provided, it is difficult to definitively identify the outlier without seeing the scatterplot. However, you can analyze the points to see if one of them stands out by having a height or weight significantly different from the others. An outlier is usually an extreme value that lies far away from the cluster of data points.
If you have access to the scatterplot image, you can visually inspect the points and look for any data point that is noticeably distant from the rest. This point would likely be the outlier.
To identify the outlier from the given data, we need to look at the scatterplot and determine which point is significantly different from the others. Since no image is provided in this text-based format, I cannot directly analyze the scatterplot. However, I can guide you on how to identify outliers in a scatterplot.
1. Plot the given points on a graph, with heights on the x-axis and weights on the y-axis.
2. Look for points that are substantially separate from the majority of other points.
3. Outliers can be identified by visually analyzing the scatterplot. Look for points that do not follow the general pattern or trend observed in the data.
4. In this specific case, compare the given points (61, 95), (60, 123), (63, 122), and (64, 125). Determine if any of these points deviate significantly from the overall pattern.
Without the scatterplot or further information, I cannot determine the precise outlier point for you. It would be best to refer to the scatterplot provided by the teacher to identify the outlier accurately.