Question
In: Math
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, 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 | 51 | 58 | 63 |
|---|---|---|---|---|---|
| Bone Density | 360 | 353 | 336 | 333 | 332 |
Step 2 of 6 :
Find the estimated y-intercept. Round your answer to three decimal places.
Summation Table
| x | y | xyxy | x2x2 | y2y2 | |
|---|---|---|---|---|---|
| Sum | 268 | 1714 | 91583 | 1454 | 588218 |
| Woman 1 | 47 | 360 | 16920 | 2209 | 129600 |
| Woman 2 | 49 | 353 | 17297 | 2401 | 124609 |
| Woman 3 | 51 | 336 | 17136 | 2601 | 112896 |
| Woman 4 | 58 | 333 | 19314 | 3364 | 110889 |
| Woman 5 | 63 | 332 | 20916 | 3969 | 110224 |
I am able to understand how this problem is solve. Can you break it down for me?
Solutions
milcah answered 1 year agoRelated Solutions
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, 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
36
51...
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, 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 36 40...
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, 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 59...
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, 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 41...
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+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 29...
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,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 Bone Density
38 ...
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 liney^=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
36 ...
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+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
3939
4747...
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, 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 43 49...
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, 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
40...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- In each of the following situations, develop a tentative plan for the client. List the various...
- MARGI sells different types of wine. Customers place orders to the most popular “Summer Wine” at...
- Java. If possible please put explanations for each line of code. Write a test program that...
- . Use the following information to calculate your company's expected return State Probability Return Boom 20%...
- You are considering the following two projects and can only take one. Your cost of capital...
- C++: Write a program that produces truth tables for the following compound propositions. Write the header...
- 1. What is the historical role of investment bankers ? Has this role changed ? Why...
ADVERTISEMENT