We use
simple correlation coefficients to measure the strength of the relationship between fluid cognitive skills and test scores.
Not exact matches
MM instead promote the use of a
simple linear
correlation coefficient («r «-RRB- in its place.
Because a
simple linear
correlation coefficient (r) does not, it is widely recognized as not being a sufficient metric of reconstructive skill.
A
simple linear fit to the UAH temperature series gives a
correlation coefficient of 0.53, while your fourth order polynomial gives 0.59.
I assume that what is meant by the «R2» statistic is the squared Pearson dot - moment
correlation, or r2 (i.e., the square of the
simple linear
correlation coefficient between two time series) over the 1856 - 1901 «verification» interval for our reconstruction.