In a regression equation, if b is positive, then the correlation between the predictor and outcome must be negatively correlated.
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Q2: in a positive correlation, as the value
Q3: The strength of a correlation depends on
Q4: A correlation of .78 is stronger than
Q5: When testing a correlation, the null hypothesis
Q6: A least squares regression line minimizes the
Q8: In a regression equation, a stronger equation
Q9: In a regression equation, if a is
Q10: The coefficient of determination is used to
Q11: A strong negative correlation will lead to
Q12: Smaller coefficients of determination means that the
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