# 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+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.Age4748566067Bone Density359350334314313   Find the estimated y-intercept. Round your answer to three decimal places.

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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+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 Bone Density 47 48 56 60 67 359 350 334 314 313

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The provided d... help_outlineImage TranscriptioncloseAge (x) Bone Density (y) 47 359 48 350 334 314 313 56 60 67 fullscreen

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