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, 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 | 45 | 49 | 61 | 65 | 71 |
---|---|---|---|---|---|

Bone Density | 356 | 355 | 350 | 340 | 312 |

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 :

Determine the value of the dependent variable y^ at x=0.

A. B0

B. B1

C. X

D. Y

Step 4 of 6:

True or False:

All the points fall in a straight line

Step 5 of 6 :

According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable y^ is given by?

A. B0

B. B1

C. X

D. Y

Step 6 of 6 :

Find the value of the coefficient of determination. Round your answer to three decimal places.

Answer #1

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answer in case the answer has helped you**

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+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
45
49...

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
37
41...

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
50...

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 . 46...

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+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
39
47...

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+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
41
44...

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
40
41...

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+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 Bone Density...

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

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+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
46
48...

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