If the coefficient of determination is a positive value, then the regression equation must have a positive slope must have a negative slope could have either a positive or a negative slope must have a positive y intercept
True or False?
If the coefficient of determination is a positive value, then the regression equation must have a positive slope must have a negative slope could have either a positive or a negative slope must have a positive y intercept
True or False?
The correct answer is must have a positive slope.
Step-by-step explanation:
The coefficient of determination varies between -1 to 1. It shows the how strong is the relationship between two variables.
Coefficient closer to -1 indicate negative relationship and that y decreases with increase in x and the regression equation has a negative slope.
Coefficient closer to 1 indicate positive relationship and that y increases with increase in x and the regression equation has a positive slope.
Coefficient closer to 0 indicate that there is no possible relationship between the variables under consideration. It is not possible to construct a particular regression equation.
The regression equation could have a positive or a negative slope
Explanation:
The coefficient of determination is marked as r^2. This is always positive because squaring a negative leads to a positive. Knowing something like r^2 = 0.7 does not tell us whether r itself is positive or negative, so we don't know if the regression line slope is positive or negative. We would need more info.