Which of the statements below are true? select all that apply. a correlation of r = .92 indicates a strong, positive correlation. correlation must be between 0 and 1. a correlation of r = -.17 indicates a strong, negative correlation. a correlation of r = .01 means there is no significant correlation. correlation must be between -1 and 1. correlation is a numeric measure of the strength and the direction between two categorical variables.?

The statements which are true are:

a correlation of r = .92 indicates a strong, positive correlation( since r-value is close to 1) a correlation of r = .01 means there is no significant correlation.( since r-value is close to 0)correlation must be between -1 and 1. correlation is a numeric measure of the strength and the direction between two categorical variables.Step-by-step explanation:

We know that the r-value is used to determine the strength between the two variables in the scatter plot.

If the r-value is close to 0, then there is no association between the two variables.If the r value is close to 1 or -1 then the two variables have a strong correlation.and if r-value is negative then the two variables have a positive relation and vice-a-versa.Also the range of r-value is -1 to 1.

1.17+3.99a. you combine the terms with a to create 3.99 and the 1.17 stays because it has no like terms or a variable