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.
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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