Math Problem Statement
A researcher is interested in whether the variation in the size of human beings is proportional throughout each part of the human. To partly answer this question he looked at the correlation between the foot length (in millimeters) and height (in centimeters) of 10 randomly selected adult males. The data is reproduced in the table below. Calculate the correlation coefficient r using a TI-83, TI-83 plus, or TI-84 graphing calculator, rounding your answer to two decimal places.
Foot length (mm)
Height (cm)
287.0
179.4
283.3
188.3
286.4
190.2
275.0
187.9
273.2
176.3
294.2
183.2
278.6
188.0
281.9
185.5
282.7
184.5
293.5
191.7
Provide your answer below:
Solution
To calculate the correlation coefficient , we follow these steps:
Using a TI-83/84 Calculator
-
Enter the data:
- Press
STAT
, then select1:Edit
. - Enter the foot length data into
L1
and the height data intoL2
.
- Press
-
Calculate the correlation coefficient:
- Press
STAT
, move to theCALC
menu, and select4:LinReg(ax+b)
. - Ensure the calculator uses
L1
andL2
by enteringLinReg(ax+b) L1, L2
.
- Press
-
Enable diagnostics (if is not displayed):
- Press
2nd
then0
(to accessCatalog
), scroll toDiagnosticsOn
, and pressENTER
twice.
- Press
-
View the output:
- The calculator will display the values of (slope), (intercept), and (correlation coefficient).
Manual Calculation:
The correlation coefficient is calculated using the formula: [ r = \frac{n \sum (x_i y_i) - \sum x_i \sum y_i}{\sqrt{[n \sum x_i^2 - (\sum x_i)^2][n \sum y_i^2 - (\
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Math Problem Analysis
Mathematical Concepts
Statistics
Correlation Coefficient
Linear Regression
Formulas
r = (n Σ(x_i y_i) - Σx_i Σy_i) / sqrt([n Σx_i^2 - (Σx_i)^2] [n Σy_i^2 - (Σy_i)^2])
Theorems
Pearson Correlation Coefficient
Suitable Grade Level
Grades 10-12
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