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

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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B.  

Explanation:

Correlation is defined as a statistic that determine the relation between two variables.

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. "

power out to power in less than 100%

force is mass*acceleration.

we have a very small mass: 11.4*0.001 kg

if we want 0.035n of force, we need an acceleration:

0.035 = 11.4*0.001*a

a = 0.035/(11.4*0.001) m/s^2