The table below gives the age and bone density for five randomlyselected women. Using this data, consider the equation of theregression line, yˆ=b0+b1x, for predicting a woman's bone densitybased on her age. Keep in mind, the correlation coefficient may ormay not be statistically significant for the data given. Remember,in practice, it would not be appropriate to use the regression lineto make a prediction if the correlation coefficient is notstatistically significant.
| Age | 47 | 49 | 51 | 58 | 63 |
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| Bone Density | 360 | 353 | 336 | 333 | 332 |
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Step 2 of 6 :
Find the estimated y-intercept. Round your answer to threedecimal places.
Summation Table
| x | y | xyxy | x2x2 | y2y2 |
|---|
| Sum | 268 | 1714 | 91583 | 1454 | 588218 |
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| Woman 1 | 47 | 360 | 16920 | 2209 | 129600 |
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| Woman 2 | 49 | 353 | 17297 | 2401 | 124609 |
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| Woman 3 | 51 | 336 | 17136 | 2601 | 112896 |
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| Woman 4 | 58 | 333 | 19314 | 3364 | 110889 |
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| Woman 5 | 63 | 332 | 20916 | 3969 | 110224 |
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I am able to understand how this problem is solve. Can you breakit down for me?
