in running a Pearson Correlation, you notice that the data has a restricted range along the X axis, such that most of the dots appear on the right side of the graph. What effect does restricted range have on the Pearson Product-Moment correlation?

The Pearson product-moment correlation coefficient, also known as Pearson's correlation, is a statistic that expresses how much and in what direction two variables are related when measured at least on an interval scale.

The range restriction causes the variable x's standard deviation to decrease, which lowers the correlation between x and some variable y. Multiple regression coefficients may be impacted by analogous range limiting.

A cause-and-effect relationship cannot be established using the Pearson correlation. It can only determine how strongly two variables are linearly associated. It doesn't even distinguish between independent and dependent variables, as was already mentioned.

The most popular gauges the strength and direction of a linear link between two variables, known as a Pearson correlation coefficient. Values usually fall between -1 and 1, with 1 denoting a perfectly positive correlation and -1 denoting a perfectly inverse relationship.

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