Question: The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y=b0+b1xy^=b0+b1x,

The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y=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	37	41	54	60	67
Bone Density	339	334	328	316	311

Previous Step Answers:

Estimated slope b1=0.915b1=0.915 Estimated intercept b0=372.997b0=372.997

Step4of6:

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 yy^.

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