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

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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 35 50 54 61 66
Bone Density 354 353 350 334 332
Step 1 of 6: Find the estimated slope. Round
your answer to three decimal places.
Step 2 of 6: Find the estimated y-intercept.
Round your answer to three decimal places.
Step 3 of 6: Find the estimated value of y when
x=66. Round your answer to three decimal places.
Step 4 of 6: Determine if the statement "Not
all points predicted by the linear model fall on the same line" is
true or false.
Step 5 of 6: Determine the value of the
dependent variable yˆ at x=0.
Step 6 of 6: Find the value of the coefficient
of determination. Round your answer to three decimal
places.