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2. Rate pressure product - Wikipedia

   en.wikipedia.org/wiki/Rate_pressure_product

   The calculation formula is: Rate Pressure Product (RPP) = Heart Rate (HR) * Systolic Blood Pressure (SBP) The units for the Heart Rate are beats per minute and for the Blood Pressure mmHg . Rate pressure product is a measure of the stress put on the cardiac muscle based on the number of times it needs to beat per minute (HR) and the arterial ...

3. Coefficient of determination - Wikipedia

   en.wikipedia.org/wiki/Coefficient_of_determination

   Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

4. x̅ and R chart - Wikipedia

   en.wikipedia.org/wiki/X̅_and_R_chart

   In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]

5. Linear trend estimation - Wikipedia

   en.wikipedia.org/wiki/Linear_trend_estimation

   All have the same trend, but more filtering leads to higher r 2 of fitted trend line. The least-squares fitting process produces a value, r-squared (r 2), which is 1 minus the ratio of the variance of the residuals to the variance of the dependent variable. It says what fraction of the variance of the data is explained by the fitted trend line.

6. Logistic regression - Wikipedia

   en.wikipedia.org/wiki/Logistic_regression

   The reason for this choice is that not only is the deviance a good measure of the goodness of fit, it is also approximately chi-squared distributed, with the approximation improving as the number of data points (K) increases, becoming exactly chi-square distributed in the limit of an infinite number of data points.

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