Coefficient of determination definition
Coefficient of determination. ( ) means:
Coefficient of determination. (r2) means:
Coefficient of determination means a quantity that measures the degree of agreement between the points in a calibra- tion curve and the quadratic function derived to connect them.
Examples of Coefficient of determination in a sentence
Slope of the regression line, m 0.9 to 1.1 - Recommended Coefficient of determination Min.
More Definitions of Coefficient of determination
Coefficient of determination means a quantity that measures the degree of agreement between the points in a calibration and the function derived to connect the points.
Coefficient of determination. (commonly denoted as “r2”) means a statistical measure that determines how well the regression approximates the actual data points in the calibration curve, with a regression of 1 being a perfect fit.
Coefficient of determination. (𝑟2) means: ∑𝑛 (𝑦𝑖 − 𝑎0 − (𝑎1 × 𝑥𝑖))2 𝑟2 = 1 − 𝑖=1 ∑𝑛 (𝑦𝑖 − 𝑦)2 𝑖=1 𝑎0 is the axis intercept of the linear regression line 𝑎1 is the slope of the linear regression line 𝑥𝑖 is the measured reference value 𝑦𝑖 is the measured value of the parameter to be verified 𝑦 is the mean value of the parameter to be verified 𝑛 is the number of values
Coefficient of determination means a quantity that measures the degree of concordance between the points in a calibration curve and the quadratic function derived to connect them.
Coefficient of determination. ( ) means: where: is the axis intercept of the linear regression line is the slope of the linear regression line is the measured reference value is the measured value of the parameter to be verified is the mean value of the parameter to be verified is the number of values
Coefficient of determination. (r2) means: (r2)(1((ni 1[yi a0(a1 xi)]2)(ni 1(yiy)2)))