Correlation Coefficient Quiz

John is analyzing the relationship between the number of hours studied and the scores obtained in a test. He finds a correlation coefficient of 0.85. What can be said about the strength of this correlation?

• Weak positive correlation

• Strong positive correlation

• Weak negative correlation

• No correlation

Emily notices that as the temperature increases, the sales of ice cream also increase. What type of correlation is this?

• Positive correlation

• Negative correlation

• No correlation

• Causation

David observes that as the number of hours spent on social media increases, the grades of students decrease. What type of correlation is this?

• Positive correlation

• Negative correlation

• No correlation

• Causation

Sarah finds a strong correlation between the number of books read and vocabulary skills. Can she conclude that reading books causes better vocabulary skills?

• Yes, correlation implies causation

• No, correlation does not imply causation

• Yes, if the correlation is strong

• No, if the correlation is weak

Michael is studying the relationship between exercise and weight loss. He finds a correlation coefficient of -0.75. What does this indicate?

• Strong positive correlation

• Weak positive correlation

• Strong negative correlation

• No correlation

Anna notices that as the number of hours of sleep increases, the level of stress decreases. What type of correlation is this?

• Positive correlation

• Negative correlation

• No correlation

• Causation

Tom finds a correlation coefficient of 0.02 between the number of pets owned and happiness levels. What can be said about this correlation?

• Strong positive correlation

• Weak positive correlation

• No correlation

• Strong negative correlation

Lisa observes that as the amount of junk food consumed increases, the health issues also increase. What type of correlation is this?

• Positive correlation

• Negative correlation

• No correlation

• Causation

James finds a correlation between the number of hours spent watching TV and the level of physical fitness. Can he conclude that watching TV causes lower physical fitness?

• Yes, correlation implies causation

• No, correlation does not imply causation

• Yes, if the correlation is strong

• No, if the correlation is weak

Olivia is analyzing the relationship between the amount of time spent on homework and academic performance. She finds a correlation coefficient of 0.65. What can be said about the strength of this correlation?

• Weak positive correlation

• Moderate positive correlation

• Strong negative correlation

• No correlation