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In a simple regression analysis, the correlation between the two variables (r and y) is strong and negative. This implies that: Select all that apply. As r increases, y tends to increase. As I increases, y tends to decrease. The y-intercept must also be negative. - As : decreases, y tends to decrease. All the data points will lie on the regression line. As + decreases, y tends to increase. The coefficient of determination will be negative. Check