The coefficient of correlation, often denoted as \( r \), is a measure of the linear relationship between two variables. It is calculated as:
\[ r = \frac{n(\Sigma xy) - (\Sigma x)(\Sigma y)}{\sqrt{[n \Sigma x^2 - (\Sigma x)^2][n \Sigma y^2 - (\Sigma y)^2]}} \]
Where \( x \) and \( y \) are the two variables, and \( n \) is the number of data points.
The important point to note is that the coefficient of correlation is **independent** of both the scale (i.e., the units of the variables) and the origin (i.e., the reference point for measuring the variables). This means that the coefficient of correlation will remain the same if you change the units of measurement or shift the origin of the data.
Thus, the correct answer is option (C): Both change of scale & origin.
The percent Fe content of a random sample consisting of five observations is shown:
If the mean grade of the stockpile is estimated using the above data, the standard error of the mean grade, in %, is _______ (rounded off to 3 decimal places).
For the following ten angle observations, the standard error of the mean angle is given as 2cm arcsecond (rounded off to 2 decimal places).
25$^\circ$40'12'' | 25$^\circ$40'14'' | 25$^\circ$40'16'' | 25$^\circ$40'18'' | 25$^\circ$40'09'' |
25$^\circ$40'15'' | 25$^\circ$40'10'' | 25$^\circ$40'13'' | 25$^\circ$40'15'' | 25$^\circ$40'18'' |
The residual error in a measurement comprises a bias of \( +0.08 \, {m} \) and a random component given by the following density function: \[ f(x) = \frac{1}{0.15 \sqrt{2\pi}} \exp\left( -\frac{x^2}{2 \cdot (0.15)^2} \right) \] For this system, the mean square error (MSE) is __________ m (rounded off to 2 decimal places).
The covariance matrix, \( \Sigma \), for the planar coordinates of a surveyed point is given as:
\[ \Sigma = \begin{bmatrix} 25 & 0.500 \\ 0.500 & 100 \end{bmatrix} \quad \text{(in mm}^2\text{)} \] The coefficient of correlation is __________ (rounded off to 2 decimal places).