Linear regression, a Rare card

The card carries these facts from its Wikipedia article.

• A linear model with exactly one explanatory variable is a simple linear regression, a model with two or more explanatory variables is a multiple linear regression.
• In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data.
• Most commonly, the conditional mean of the response given the values of the explanatory variables is assumed to be an affine function of those values, less commonly, the conditional median or some other quantile is used.

Rarity in WikiCards follows a year of Wikipedia page views: the most read articles become Epic and Legendary cards. The Linear regression article was read about 280,000 times in a year. ATK comes from the length of the article and DEF from its quality, so this card hits with 78 and blocks with 63: each hit it takes is cut by 25 %.

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The cards just above and just below Linear regression in the power ranking, all domains together.