# 2453 Correlation & Causality

5 Questions | Total Attempts: 242

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The Coefficient of Determination is generally measured as a percentage. If it is 95% then the statement would read as :95% of the variation of the dependent variable (y variable), can be explained by the variation in the independent variable (x variable)

• 1.
Jack is on a fitness campaign.He is measuring his improvement by counting the number of pushups he can do in one minute.He measures his progress at the end of each week.According to the line of linear regression, he has a Correlation Coefficient of 0.94.Which statement is most correct :
• A.

94% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

94% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

89% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

89% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

There relationship between attendance and pushups is non-linear

• 2.
Paddy is on a fitness campaign. He is measuring his improvement by counting the number of pushups he can do in one minute. He measures his progress at the end of each week. According to the line of linear regression, he has a Correlation Coefficient of 0.91 Which statement is most correct :
• A.

91% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

91% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

82% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

82% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

The relationship between attendance at training and pushups is non-linear

• 3.
Jack is on a fitness campaign. He is measuring his improvement by counting the number of pushups he can do in one minute. He measures his progress at the end of each week. According to the line of linear regression, he has an 'r' value of 0.94. Which statement is most correct :
• A.

94% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

94% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

89% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

89% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

There relationship between attendance and pushups is non-linear

• 4.
Jack is on a fitness campaign. He is measuring his improvement by counting the number of pushups he can do in one minute. He measures his progress at the end of each week. According to the line of linear regression, he has Coefficient of Determintion of 0.89. Which statement is most correct :
• A.

94% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

94% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

89% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

89% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

There relationship between attendance and pushups is non-linear

• 5.
Jack is on a fitness campaign. He is measuring his improvement by counting the number of pushups he can do in one minute. He measures his progress at the end of each week. According to the line of linear regression, he has an  of 0.89. Which statement is most correct :
• A.

94% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

94% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

89% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

89% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

There relationship between attendance and pushups is non-linear

• 6.
Jacob is on a fitness campaign. He is measuring his improvement by counting the number of pushups he can do in one minute. He measures his progress at the end of each week. According to the line of linear regression, he has a Correlation Coefficient of 0.88 Which statement is most correct :
• A.

88% of the variation in his push up count can be explained by the number of weeks he has attended training

• B.

88% of the variation in his weekly attendance explained by the variation in his push-up count

• C.

78% of the variation in his push up count can be explained by the number of weeks he has attended training

• D.

78% of the variation in his weekly attendance explained by the variation in his push-up count

• E.

The relationship between attendance at training and pushups is non-linear

• 7.