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The table below gives the age and bone density for five randomly selected women. Using this...

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 y ^ = b 0 + b 1 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 38 38 40 40 46 46 68 68 69 69 Bone Density 352 352 335 335 328 328 327 327 322 322 Table Copy Data Step 5 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable yˆ y ^ .

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Answer #1

from above slope = -0.589

intecept =363.571

Step 5 of 6: if the value of the independent variable is increased by one unit, then find the change in the dependent variable =-0.589

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