The data in Table 3 shows the heights (in inches) and weights (in pounds) for 10 randomly selected students. Table 3. Heights (inches) and Weights (pounds) Height, a Weight, y 45.2 112.8 Questions 3A-3C Questions 3D to 3G 40.4 3G. I 44.4 = 44.8 40.6 43.6 43.6 42.7 Use the data in Table 3 to answer the questions. 3A. Construct a scatter plot for the data showing the regression line. 3B. Find the equation of the regression line for the data. 3C. Find the value of the correlation coefficient, r. 44.4 43.0 101.6 112.0 111.2 100.8 110.4 106.4 108.0 111.2 Use the regression equation found in part 3B to predict the value of y for the given value of x. If it is not meaningful to do that, explain why. 3D. x = 41 3E. x = 38 3F. x = 49 = 45 105.6

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section9.6: The Algebra Of Matrices
Problem 41E
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Question
The data in Table 3 shows the heights (in inches) and weights (in pounds) for 10 randomly selected students.
Table 3. Heights (inches)
and Weights (pounds)
Height, a
Weight, y
45.2
112.8
Questions 3A-3C
Questions 3D to 3G
40.4
3G. I
44.4
=
44.8
40.6
43.6
43.6
42.7
Use the data in Table 3 to answer the questions.
3A. Construct a scatter plot for the data showing the regression line.
3B. Find the equation of the regression line for the data.
3C. Find the value of the correlation coefficient, r.
44.4
43.0
101.6
112.0
111.2
100.8
110.4
106.4
108.0
111.2
Use the regression equation found in part 3B to predict the value of y for the given value of x. If it is not meaningful to do that, explain why.
3D. x = 41
3E. x = 38
3F. x = 49
= 45
105.6
Transcribed Image Text:The data in Table 3 shows the heights (in inches) and weights (in pounds) for 10 randomly selected students. Table 3. Heights (inches) and Weights (pounds) Height, a Weight, y 45.2 112.8 Questions 3A-3C Questions 3D to 3G 40.4 3G. I 44.4 = 44.8 40.6 43.6 43.6 42.7 Use the data in Table 3 to answer the questions. 3A. Construct a scatter plot for the data showing the regression line. 3B. Find the equation of the regression line for the data. 3C. Find the value of the correlation coefficient, r. 44.4 43.0 101.6 112.0 111.2 100.8 110.4 106.4 108.0 111.2 Use the regression equation found in part 3B to predict the value of y for the given value of x. If it is not meaningful to do that, explain why. 3D. x = 41 3E. x = 38 3F. x = 49 = 45 105.6
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