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 = bo + bịx, 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 47 49 50 51 58 Bone Density 360 353 336 333 310 Table Copy Data Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.
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 = bo + bịx, 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 47 49 50 51 58 Bone Density 360 353 336 333 310 Table Copy Data Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.
Chapter4: Linear Functions
Section: Chapter Questions
Problem 41RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed in...
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