Which of the following statements are true? select all that apply.
the correlation coefficient, r, is equal to the number of data points that lie on the regression line divided by the total number of data points.
the correlation coefficient gives us information about the number of outliers compared to the number of data points.
the correlation coefficient is a unitless number and must always lie between –1.0 and +1.0, inclusive.
the correlation coefficient, r, gives us information about the strength and direction of a linear relationship between any two variables.
if r is the correlation between two variables x and y then -r is the correlation between y and x.
the larger r is in absolute value, the stronger the relationship is between the two variables.

I know this is right because I got it wrong on Algebra nation before and these were the answers it showed me.

Step-by-step explanation:

The correlation coefficient is a unitless number and must always lie between –1.0 and +1.0, inclusive.

The correlation coefficient, r, gives us information about the strength and direction of a linear relationship between any two variables.

The larger r is in absolute value, the stronger the relationship is between the two variables

lol, i have been using this product for a while and the second half of the year for a lon and the first time in a long time ago that the government has not yet received enough votes to be a good the first place in the world to be able to do it in my world life, i

b if for most of the graph

d if y intercept

step-by-step explanation: