find eqn for median-median line, line of best fit (& 6 other probs)

palmz

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For each of the following, use your calculator to find the equation for the median-median line and the line of best fir using the least squares method. You should also list the values of r and r^2. round all decimals to nearest thousandth when necessary.
1. x:5,7,4,9,10,11,3,6,8,8,4,12,9,2
y:31,36,27,45,52,51,20,34,40,42,25,56,45,11
2. x:22,25,30,34,41,20,32,45,51,54,21,55,44,33,60
y:53,62,71,82,91,51,73,103,114,120,50,127,100,72,132
3. Use the linear regression line that you found in problem 1 to predict the value of y when x=10. How close does this prediction come to the value of y in the data table when x=10? Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
4. Use the median-median line that you found in problem 2 to predict the value of y when x=20. How close does this prediction come to the value of y in the data table when x=20?Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
5. Explain in your words what a value of r^2=0.9 means
6. What is the purpose of finding a line of best fit? why do we want to find a model for the data?
7. The phrase "association does not imply causation" is used to caution against making an assumption that a strong relationship between two variables does NOT mean that one variable causes another. Give an example of two variable that have a relationship, but one does not cause the other.
 
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For each of the following, use your calculator to find the equation for the median-median line and the line of best fir using the least squares method. You should also list the values of r and r^2. round all decimals to nearest thousandth when necessary.
1. x:5,7,4,9,10,11,3,6,8,8,4,12,9,2
y:31,36,27,45,52,51,20,34,40,42,25,56,45,11
2. x:22,25,30,34,41,20,32,45,51,54,21,55,44,33,60
y:53,62,71,82,91,51,73,103,114,120,50,127,100,72,132
3. Use the linear regression line that you found in problem 1 to predict the value of y when x=10. How close does this prediction come to the value of y in the data table when x=10? Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
4. Use the median-median line that you found in problem 2 to predict the value of y when x=20. How close does this prediction come to the value of y in the data table when x=20?Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
5. Explain in your words what a value of r^2=0.9 means
6. What is the purpose of finding a line of best fit? why do we want to find a model for the data?
7. The phrase "association does not imply causation" is used to caution against making an assumption that a strong relationship between two variables does NOT mean that one variable causes another. Give an example of two variable that have a relationship, but one does not cause the other.

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For each of the following, use your calculator to find the equation for the median-median line and the line of best fir using the least squares method. You should also list the values of r and r^2. round all decimals to nearest thousandth when necessary.
1. x:5,7,4,9,10,11,3,6,8,8,4,12,9,2
y:31,36,27,45,52,51,20,34,40,42,25,56,45,11
2. x:22,25,30,34,41,20,32,45,51,54,21,55,44,33,60
y:53,62,71,82,91,51,73,103,114,120,50,127,100,72,132
Okay. You've plugged these into the technology they told you to use (your graphing calculator, a spreadsheet, some program, etc). What did you get? What is your question?

3. Use the linear regression line that you found in problem 1 to predict the value of y when x=10.
So you plugged the given value in for the variable in the specified formula, simplified to get the result, and... then what?

How close does this prediction come to the value of y in the data table when x=10? Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
What did you find when you compared?

4. Use the median-median line that you found in problem 2 to predict the value of y when x=20. How close does this prediction come to the value of y in the data table when x=20?Be sure to give the value you calculate for y (round to the nearest tenth) and then compare it to the y-value in the table.
Same questions as for (3).

5. Explain in your words what a value of r^2=0.9 means
What are your thoughts?

6. What is the purpose of finding a line of best fit? why do we want to find a model for the data?
Think about all the examples you've seen. Think about all the exercises you've worked. What has been the point? What, in "real life", would be the point?

7. The phrase "association does not imply causation" is used to caution against making an assumption that a strong relationship between two variables does NOT mean that one variable causes another. Give an example of two variable that have a relationship, but one does not cause the other.
If you're unable to come up with something on your own, try Google-ing the phrase. See what you can find. ;)
 
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