The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 3636 5252 5858 6464 6868 Bone Density 336336 335335 318318 317317 314314 Table Copy Data Step 2 of 6 : Find the estimated y-intercept. Round your answer to three decimal places.
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 3636 5252 5858 6464 6868 Bone Density 336336 335335 318318 317317 314314 Table Copy Data Step 2 of 6 : Find the estimated y-intercept. Round your answer to three decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the
| Age | 3636 | 5252 | 5858 | 6464 | 6868 |
|---|---|---|---|---|---|
| Bone Density | 336336 | 335335 | 318318 | 317317 | 314314 |
Table
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Step 2 of 6 :
Find the estimated y-intercept. Round your answer to three decimal places.
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