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 rr, we follow these steps:

Using a TI-83/84 Calculator

  1. Enter the data:

    • Press STAT, then select 1:Edit.
    • Enter the foot length data into L1 and the height data into L2.
  2. Calculate the correlation coefficient:

    • Press STAT, move to the CALC menu, and select 4:LinReg(ax+b).
    • Ensure the calculator uses L1 and L2 by entering LinReg(ax+b) L1, L2.
  3. Enable diagnostics (if rr is not displayed):

    • Press 2nd then 0 (to access Catalog), scroll to DiagnosticsOn, and press ENTER twice.
  4. View the output:

    • The calculator will display the values of aa (slope), bb (intercept), and rr (correlation coefficient).

Manual Calculation:

The correlation coefficient rr 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