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... calculated using the linear ... However, remember that the first component contains more “information” (in the form of explained variance) ...

https://www.graphpad.com/guides/prism/latest/statistics/

Consider fitting a line (linear regression) to transformed data. When you fit any model with nonlinear regression, you assume that the variation of residuals is ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

ANOVA and repeated measures ANOVA For most multiple comparisons tests, the first step is to compute ... variance-covariance matrix at best-fit values. © 1995-2025 ...

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If the mean values for each subject are identical, the sum-of-squares for intrasubject variability equals 0.0, and the repeated measures calculations are ...

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Based on a suggestion in Numerical Recipes (1), we based our robust fitting method on the assumption that variation ... Robust regression cannot calculate ...

https://www.graphpad.com/guides/prism/latest/curve-fitting/

... variability. Some ... Furthermore, Prism (along with most other programs) does not calculate confidence intervals when calculating nonparametric tests.

https://www.graphpad.com/guides/prism/latest/statistics/

Principal Component Analysis (PCA). Calculate and select the principal components that describe the greatest amount of variance in your data. Choose from ...

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Instead, choose the Tukey test if you want to compute confidence intervals for every comparison or the Holm-Šídák test if you don't. oFollowing two-way ANOVA If ...

https://www.graphpad.com/guides/prism/latest/statistics/

... estimate, then multicollinearity is a problem. In Prism, multicollinearity is evaluated using variance inflation factors (VIFs). As a general rule of thumb ...

https://www.graphpad.com/guides/prism/latest/statistics/

You can enter data as mean, SD (or SEM) and N, and Prism can compute an unpaired t test or the Welch t test. ... References. 1. Ruxton. The unequal variance t- ...

https://www.graphpad.com/guides/prism/latest/statistics/