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Find the first term and the common difference.
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Coefficient Of Determination
The coefficient of determination, often denoted as R^2, is a statistic used in the context of statistical models whose main purpose is to provide a measure of how well observed outcomes are replicated by the model, based on the proportion of total variation of outcomes explained by the model.
Pearson Coefficient
A measure of the linear correlation between two variables X and Y, giving a value between -1 and 1.
Linear Relationship
A type of association where the change in a variable is consistent with the change in another variable, represented by a straight line on a graph.
Coefficient Of Determination
A measure used in statistical analysis that assesses how well a model explains and predicts future outcomes, typically represented as R-squared.
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