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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.?

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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."

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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.

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