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 I decreases, y tends to increase. The slope and the correlation coefficient will be equal. Increase in r causes y to increase and vice versa. The slope of the regression line will be positive. O As I increases, y tends to decrease. O As r decreases, y tends to decrease. Decrease in a causes y to decrease