applications of carl Pearson coefficient of corelation
applications of carl Pearson coefficient of corelation
applications of carl Pearson coefficient of corelation
applications of carl Pearson coefficient of corelation
applications of carl Pearson coefficient of corelation
applications of carl Pearson coefficient of corelation
It is not possible to use correlation when the two variables are not related at all. the corelation coefficient value that will be obtained will have no significance.
bacon!
a coefficient is the number before the variable.example- 4y the 4 before the y is the coefficient.
A coefficient is any number in front of a variable .
yes
There is no corelation between amps and hertz
The coefficient
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
The correlation coefficient is symmetrical with respect to X and Y i.e.The correlation coefficient is the geometric mean of the two regression coefficients. or .The correlation coefficient lies between -1 and 1. i.e. .
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
It's an elasticity coefficient of demand: deltaD/deltaP When the coefficient is >1 it is an elastic demand When the coefficient is <1 it is a nonelastic demand
The coefficient in math basically means the number that is placed right next to a variable. An example can be in 3x+4. The numerical coefficient would be 3.