To do Use your skills from Chapter 6 9 to create the better linear regression line to predict a person's height You'll need to do two linear regressions then determine which equation is better than the other (Making a regression line is also called building a model because our whole goal is to find a line that is a really good estimate of the patter of data points Just like modeling clay is shaped to look like an object, the regression model is shaped to the pattern of the data ) Turn in Once you've determine the better linear regression, explain the following Computethe equation of the linear regression that best fits the data Show your equation here (Don't show you work here, use technology and then give the equation ) Which variable did you use to predict height arm span or forearm length For both models Compute and show us the correlation between the two variables Interpret the correlation in a sentence For both models Computeand show usthe coefficient of determination, and interpret it in a sentence How did you decide which variable (armspan or forearm length) would be a better predictor Cite at least two reasons (r r2 a scatter plot s ) You don't have to turn in ALL of your work and calculations You'll do more work on paper , but then turn inyour answers here Usinggoodnotationispartofyourgrade User2andnotr 2 Use y andnoty (Usetheequationeditorandlookatthe7thtabfortheemptyboxthathasthehataboveit ) In a statistics class last spring the students measured their height, their arm span (finger tip to finger tip), and the length of their forearm (elbow to finger tip) All distances were measured in inches We collected data to answer this question which is a better predictor of someone's height, their arm span or their forearm length In other words, will someone's forearm length or their arm span more accurately predict their height Listed below are the data that were collected Student Arm span Forearm length Height A 60 5 16 62 B 68 17 5 67 C 60 16 6 61 D 64 5 17 65 E 63 5 17 62 5 F 61 5 16 5 62 5 G 67 18 68 H 67 18 5 71 5

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To do: Use your skills from Chapter 6 - 9 to create the better linear regression line to predict a person's height. You'll need to

To do:

Use your skills from Chapter 6 - 9 to create the better linear regression line to predict a person's height. You'll need to do two linear regressions then determine which equation is "better" than the other. (Making a regression line is also called "building a model" because our whole goal is to find a line that is a really good estimate of the patter of data points. Just like modeling clay is shaped to look like an object, the regression model is shaped to the pattern of the data.)

Turn in:

Once you've determine the better linear regression, explain the following:

Computethe equation of the linear regression that best fits the data. Show your equation here. (Don't show you work here, use technology and then give the equation.) Which variable did you use to predict height: arm span or forearm length?
For both models:Compute and show us the correlation between the two variables. Interpret the correlation in a sentence.
For both models:Computeand show usthe coefficient of determination, and interpret it in a sentence.
How did you decide which variable (armspan or forearm length) would be a better predictor? Cite at least two reasons. (r? r2? a scatter plot? s?)
You don't have to turn in ALL of your work and calculations. You'll do more work "on paper", but then turn inyour answers here.
Usinggoodnotationispartofyourgrade.User2andnotr^2.Useyandnoty^.(Usetheequationeditorandlookatthe7thtabfortheemptyboxthathasthehataboveit.)

In a statistics class last spring the students measured their height, their arm span (finger tip to finger tip), and the length of their forearm (elbow to finger tip). All distances were measured in inches.

We collected data to answer this question:which is a better predictor of someone's height, their arm span or their forearm length?In other words, will someone's forearm length or their arm span more accurately predict their height?

Listed below are the data that were collected.