A set of n = 15 pairs of scores (X and Y values) produces a correlation of r = 0.40. If each of the X values are multiplied by 2 and the correlation is computed for the new scores, which value will be obtained for the new correlation?

Given that the linear correlation coefficient r is found to be 0.867, what is the proportion of the variation in the left arm measurements that is explained by the relationship between the right and left arm measurements?   Right arm 102 101 94 79 79 Left arm 175 169 182 146 144

If variable X remains constant as variable Y decreases, the correlation is said to be: zero negative positive strong

A study was done asking people how much money they spend per month on their natural gas bill and how much money per month they spend on their electric bill. The correlation r was found to be 0.94 and the p- value for correlation was 0.0003. Then a person with a high natural gas bill will also have a high electric bill. O true false

A researcher found the correlation between math ability and math anxiety is -0.6. Which of the following is NOT correct? The people who have lower math ability tend to have higher math anxiety. The people who have higher math ability tend to have lower math anxiety. Student A has high math anxiety is because she/he has a low math ability

What does a correlation coefficient of 2​ indicate? There is a weak relationship between the two quantitative variables.  It indicates a calculation​ error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a​ non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.

Click this Video for Finding Correlation Coefficient by Using Formula. Yessica thought that there was a correlation between the amount of time students slept the evening before their final exam and their final exam grade. She took an SRS of 5 students in her class and recorded the sleep time the evening before their final exam, and their final exam score. Let the sleep time the evening before the final exam represents the explanatory variable, and the final exam score be the response variable. Below is a sample data set. x (hour) 8 9 3 9 1 2 3 4 5 Calculate the sample correlation coefficient (r) to three decimal places. r= 9 Why would we expect the correlation coefficient to be positive? As the sleep time increases, exam score increases As the sleep time increases, exam score decreases As the sleep time decreases, exam score increases There is no change in exam score to sleep time C E y (score) 91 94 51 100 90 C A

Would A be the answer?

When two variables have a perfect linear relationship, the correlation coefficient is always 1.  True False

The correlation between a variable and itself is always equal to 0.5 -1 1