Which of the following statements concerning correlation analysis is not true? A. A researcher may claim that one variable influences another if test results are significant. B. A researcher may claim that variables are related to each other if test results are significant. C. A researcher may claim that one variable causes another to occur if test results are significant. D. A researcher may claim that one variable can predict the outcome of another if test results are significant. Please select the best answer from the choices provided A B C D

Both the variables are important while finding the significance of correlation and no variable can alone claim the test results are significant. A test result is significant when both the variables are related to each other because it shows a significant probability that the relationship between the two variables exists.

Hence, the correct answer is "B. "

ibiscollingwood ibiscollingwood · Answer 2 · 2021-12-30T12:28:32+01:00

In correlation, variables are related to each other.

Option B is correct.

When two or more sets of data are linked together, they have a high correlation.

Data sets have a positive correlation when they increase together, and a negative correlation when one set increases as the other decreases.

Correlation refers to the degree of correspondence or relationship between two variables. Correlated variables tend to change together.

Therefore, option B is correct.

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