The following are data on age (in weeks) and crown-rump length (in millimeters) for fetuses. A scatterplot of the data is given to the right Age (x) 10 11 13 14 18 Length 65 (y) 300- 200 18 19 22 24 29 D 100 64 110 108 163 164 179 228 233 279 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r a.r=(Round to three decimal places as needed.) b. There is V between the two variables. as the x-values increase, and the data points appear c. The given graph is with the interpretation found in part (b), because the y-values appear to d. = (Round to three decimal places as needed.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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The following are data on age (in weeks) and crown-rump
length (in millimeters) for fetuses. A scatterplot of the data is
given to the right.
200
Age (x) 10 11
Length 66 64. 110 108 163 164 179 228 233 279
(y)
13
14
18
18
19
22
24 29 D
a. Obtain the linear correlation coefficient.
b. Interpret the value of r in terms of the linear relationship between the two variables
c. Discuss the graphical interpretation of the value of r.
d. Obtain the value of the coefficient of determination by squaring r.
(Round to three decimal places as needed.)
b. There is
V between the two variables.
c. The given graph is
V with the interpretation found in part (b), because the y-values appear to
as the x-values increase, and the data points appear
d.= (Round to three decimal places as needed.)
Transcribed Image Text:The following are data on age (in weeks) and crown-rump length (in millimeters) for fetuses. A scatterplot of the data is given to the right. 200 Age (x) 10 11 Length 66 64. 110 108 163 164 179 228 233 279 (y) 13 14 18 18 19 22 24 29 D a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r. (Round to three decimal places as needed.) b. There is V between the two variables. c. The given graph is V with the interpretation found in part (b), because the y-values appear to as the x-values increase, and the data points appear d.= (Round to three decimal places as needed.)
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