In a simple regression analysis, the correlation between the two variables (`x` and `y`) is strong and positive. This implies that: Select all that apply. As `x` increases, `y` tends to decrease. The coefficient of determination will be negative. The slope of the regression line will be positive. As `x` decreases, `y` tends to increase. The slope and the correlation coefficient will be equal. As `x` increases, `y` tends to increase. Decrease in `x` causes `y` to decrease. Next Next