Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 4 - Section 4.1 - Assess Your Understanding - Applying the Concepts - Page 206: 46f

Answer

Before multiplying by 2: $r=0.952$ After multiplying by 2: $r=0.952$ See the demonstration below.

Work Step by Step

$r=\frac{Σx_iy_i-\frac{Σx_iΣy_i}{n}}{\sqrt {Σx_i^2-\frac{(Σx_i)^2}{n}}\sqrt {Σy_i^2-\frac{(Σy_i)^2}{n}}}$ Observe the given formula. Now, let's multiply the $x_i$ and the $y_i$, for $i = 1, 2, 3, ..., n$, by a nonzero constant $k$. $r_{new}=\frac{Σkx_iky_i-\frac{Σkx_iΣky_i}{n}}{\sqrt {Σ(kx_i)^2-\frac{(Σkx_i)^2}{n}}\sqrt {Σ(ky_i)^2-\frac{(Σky_i)^2}{n}}}$ $r_{new}=\frac{k^2Σx_iy_i-k^2\frac{Σx_iΣy_i}{n}}{\sqrt {k^2Σx_i^2-k^2\frac{(Σx_i)^2}{n}}\sqrt {k^2Σy_i^2-k^2\frac{(Σy_i)^2}{n}}}$ $r_{new}=\frac{k^2(Σx_iy_i-\frac{Σx_iΣy_i}{n})}{k\sqrt {Σx_i^2-\frac{(Σx_i)^2}{n}}k\sqrt {Σy_i^2-\frac{(Σy_i)^2}{n}}}$ $r_{new}=\frac{k^2(Σx_iy_i-\frac{Σx_iΣy_i}{n})}{k^2\sqrt {Σx_i^2-\frac{(Σx_i)^2}{n}}\sqrt {Σy_i^2-\frac{(Σy_i)^2}{n}}}$ $r_{new}=\frac{(Σx_iy_i-\frac{Σx_iΣy_i}{n})}{\sqrt {Σx_i^2-\frac{(Σx_i)^2}{n}}\sqrt {Σy_i^2-\frac{(Σy_i)^2}{n}}}=r$
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