Understanding Correlation Coefficient

• 0.8

• 0.9

• 1.0

• 0.7

Which of the following correlation coefficients indicates the strongest relationship between two variables?

• 0.3

• -0.8

• 0.5

• -0.2

If the correlation coefficient between two variables is 0, what does this imply?

• There is a strong positive correlation.

• There is no linear correlation.

• There is a strong negative correlation.

• The variables are independent.

Which of the following scatter plots best represents a positive correlation?

• A plot where points are scattered randomly.

• A plot where points form a downward slope.

• A plot where points form an upward slope.

• A plot where points form a horizontal line.

What does a correlation coefficient of -1 indicate?

• Perfect positive correlation

• No correlation

• Perfect negative correlation

• Weak negative correlation

Which of the following statements is true about correlation and causation?

• Correlation always implies causation.

• Causation always implies correlation.

• Correlation never implies causation.

• Causation never implies correlation.

In a study, the correlation coefficient between hours studied and exam scores is found to be 0.85. What can be inferred?

• Studying more causes higher exam scores.

• There is a strong positive correlation between hours studied and exam scores.

• There is no correlation between hours studied and exam scores.

• Exam scores cause more hours to be studied.

Which of the following is an example of a real-world scenario where correlation might be used?

• Determining the cause of a disease.

• Predicting weather patterns based on historical data.

• Calculating the area of a circle.

• Solving a quadratic equation.

A correlation coefficient of 0.45 is considered to be:

• Strong positive correlation

• Weak positive correlation

• Strong negative correlation

• Weak negative correlation

Which of the following best describes a negative correlation?

• As one variable increases, the other variable increases.

• As one variable increases, the other variable decreases.

• Both variables remain constant.

• Both variables decrease.