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Which of these are correct
The Pearson correlation is always positive
The higher the R² of a linear model, the higher is the Pearson correlation between predicted values and observed values
The higher the correlation between two variables is, the higher will be the absolute value of the slope of the least square line
The linear model is the best fitted model if the Pearson correlation is high
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