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  1. Linear regression calculator - GraphPad

    The calculator above will graph and output a simple linear regression model for you, along with testing the relationship and the model equation. Keep in mind that Y is your dependent variable: the one …

  2. GraphPad Software

    Calculate P from t, z, r, F or chi-square, or vice-versa. View Binomial, Poisson or Gaussian distribution. Correct a P value for multiple comparisons and Bayes.

  3. T test calculator - GraphPad

    This calculator uses a two-sample t test, which compares two datasets to see if their means are statistically different. That is different from a one sample t test, which compares the mean of your …

  4. GraphPad QuickCalcs: Analyze continuous data

    Post test following two-way (or higher) ANOVA. Confidence interval of a sum, difference, quotient or product of two means. Confidence interval of a standard deviation. Linear regression. Analyze, graph …

  5. Ultimate Guide to Linear Regression - GraphPad

    You can use statistical software such as Prism to calculate simple linear regression coefficients and graph the regression line it produces. For a quick simple linear regression analysis, try our free …

  6. Standard deviation of the residuals: Sy.x, RMSE, RSDR

    All three values (RMSE, Sy.x, and RSDR) are expressed in the same units as Y and all can be interpreted in roughly the same way as the typical deviation of the points from the line or curve.

  7. Simple linear and simple logistic regression with Prism

    Prism offers two forms of simple regression: simple linear regression and simple logistic regression. Although these analyses are related, we discuss them separately.

  8. GraphPad Prism 10 Curve Fitting Guide - Slope and intercept

    At the bottom of the results page, the slope and intercept are reported again in the form of the equation that defines the best-fit line. You can copy this equation and paste onto a graph, or into a manuscript.

  9. GraphPad Prism 10 Curve Fitting Guide - r2, a measure of goodness-of ...

    There are two ways to compute r2 when the regression line is constrained. As you saw in the previous section, r2 is computed by comparing the sum-of-squares from the regression line with the sum-of …

  10. Equation: Fitting a straight line on a semi-log or log-log graph

    Prism's collection of "Lines" equations includes those that let you fit nonlinear models to graphs that appear linear when the X axis is logarithmic, the Y axis is logarithmic, or both axes are logarithmic.