Question

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.?

Answer 1

Based on the options given above, the answers that are true are: a correlation of r = .92 indicates a strong, positive correlation. a correlation of r = .01 means there is no significant correlation. a correlation of r = .01 means there is no significant correlation. 
This statement is true. "Correlation is a numeric measure of the strength and the direction between two categorical variables."

Thank you for your question. Please don't hesitate to ask in Brainly your queries. 

Answer 2

Answer:

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.