Suppose a doctor measures the height, x, and head circumference, y. of 8 children and obtains the data below. The correlation coefficient is 0.780 and the least squares regressi line is y=0.169x + 12.739. Complete parts a and b below. Height, x Head Circumference, y (a) Compute the coefficient of determination, R2. R² = =% (Round to one decimal place as needed.) 27.00 17.4 25.75 17.1 26.75 17.1 H 25.50 17.1 27.75 17.5 26.75 17.1 26.25 17.2 27.00 17.3
Suppose a doctor measures the height, x, and head circumference, y. of 8 children and obtains the data below. The correlation coefficient is 0.780 and the least squares regressi line is y=0.169x + 12.739. Complete parts a and b below. Height, x Head Circumference, y (a) Compute the coefficient of determination, R2. R² = =% (Round to one decimal place as needed.) 27.00 17.4 25.75 17.1 26.75 17.1 H 25.50 17.1 27.75 17.5 26.75 17.1 26.25 17.2 27.00 17.3
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 9SGR
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Question
![Suppose a doctor measures the height, \( x \), and head circumference, \( y \), of 8 children and obtains the data below. The correlation coefficient is 0.780 and the least squares regression line is \( \hat{y} = 0.169x + 12.739 \). Complete parts a and b below.
| Height, \( x \) | Head Circumference, \( y \) |
|-----------------|-----------------------------|
| 27.00 | 17.4 |
| 25.75 | 17.1 |
| 26.75 | 17.1 |
| 25.50 | 17.1 |
| 27.75 | 17.5 |
| 26.75 | 17.1 |
| 26.25 | 17.2 |
| 27.00 | 17.3 |
(a) Compute the coefficient of determination, \( R^2 \).
\[ R^2 = \square \% \] (Round to one decimal place as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe51874f1-e148-41c5-a98f-d38db516bc98%2Fa3290b09-789e-4695-b613-caa842df7733%2Fmd7of5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose a doctor measures the height, \( x \), and head circumference, \( y \), of 8 children and obtains the data below. The correlation coefficient is 0.780 and the least squares regression line is \( \hat{y} = 0.169x + 12.739 \). Complete parts a and b below.
| Height, \( x \) | Head Circumference, \( y \) |
|-----------------|-----------------------------|
| 27.00 | 17.4 |
| 25.75 | 17.1 |
| 26.75 | 17.1 |
| 25.50 | 17.1 |
| 27.75 | 17.5 |
| 26.75 | 17.1 |
| 26.25 | 17.2 |
| 27.00 | 17.3 |
(a) Compute the coefficient of determination, \( R^2 \).
\[ R^2 = \square \% \] (Round to one decimal place as needed.)
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