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+b1^x, 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 35    350 43    340 53    339 54    321 55    310 Step 2 of 6 :   Find the estimated y-intercept. Round your answer to three decimal places.

Q: Determine the value of the dependent variable yˆ at x=0. a.) b0 b). b1 c). x d). y

A:

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Q: regression

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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

A: Answer  Age    Bone Density34    35745    34148    33160    32965    325

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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

A: Age Bone Density  35 350 43 340 53 339 54 321 55 310

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A:

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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

A: AgeBone Density3933859316603136531266311

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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

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Q: The table below gives the age and bone density for five randomly selected women. Using this data,…

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