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  • https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/10%3A_Correlation_and_Regression/10.07%3A_Estimation_and_Prediction
    The coefficient of determination estimates the proportion of the variability in the variable y that is explained by the linear relationship between y and the variable x. There are several formulas for...The coefficient of determination estimates the proportion of the variability in the variable y that is explained by the linear relationship between y and the variable x. There are several formulas for computing coefficient of determination; the choice of which one to use can be based on which quantities have already been computed so far.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/06%3A_The_Normal_Distribution/6.03%3A_Estimating_the_Binomial_with_the_Normal_Distribution
    This page discusses estimating binomial processes using various probability distributions, particularly the normal, Poisson, and hypergeometric distributions. It notes that the normal distribution eff...This page discusses estimating binomial processes using various probability distributions, particularly the normal, Poisson, and hypergeometric distributions. It notes that the normal distribution effectively approximates binomial outcomes when both np and n(1-p) exceed five. An example involving Australian Shepherd puppies illustrates these calculations for binomial probabilities, highlighting the utility of the normal distribution in simplifying computations.

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