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badd99 badd99
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A month ago
Use the following to answer the questions below:

Students in a small statistics course collected data to determine if the length of the forearm could be used to predict the length of the foot (both measured in centimeters). Their data are displayed in the provided table.

Forearm (cm)292827232629.5362930242729.532
Foot (cm)26232423252729282323242631

A scatterplot of the data with the least squares regression line is shown. What are the coordinates of the point with the most extreme positive residual?

A scatterplot with a regression line shows the relationship between forearm and foot in centimeters. The horizontal axis is labeled, Forearm (in centimeters) and has markings from 22 to 36 in increments of 2. The vertical axis is labeled foot (centimeters) and has markings from 22 to 31 in increments of 1.A regression line  starts from (23, 22.3), increases toward the right, and ends at (36, 30). The dots are randomly scattered throughout the graph, such that a few dots lie above the regression line, a few dots lie below the regression line, and a few dots lie on the regression line. The concentration of the dots is more between the points 26 and 30 on the horizontal axis and between the points, 23 and 25 on the vertical axis. The dots are plotted as follows: (23, 23), (24, 23), (26, 25), (27, 24), (28, 23), (29, 26), (29, 28), (29.5, 26), (29.5, 27), (30, 23), (32, 31), and (36, 29). All values are approximate.


▸ (28, 23)

▸ (30, 23)

▸ (23, 23)

▸ (32, 31)
Textbook 
Statistics: Unlocking the Power of Data

Statistics: Unlocking the Power of Data


Edition: 3rd
Authors:
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mr.pogimr.pogi
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badd99 Author
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A month ago
this is exactly what I needed
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Yesterday
Thank you, thank you, thank you!
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2 hours ago
I appreciate what you did here, answered it right Smiling Face with Open Mouth
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