Question: Performing simple regression analysis with an individual's height (in cm) as the independent variable and their weight (in kg) as the dependent variable, you come

Performing simple regression analysis with an individual's height (in cm) as the independent variable and their weight (in kg) as the dependent variable, you come up with the following values...

r = 0.24

r2= 0.06

y = 0.27x - 37.44

Which would be the correct interpretation of the correlation coefficient?

Question 3 options:

  1. Each additional 1kg in a person's weight leads to increase of 0.27cm in their height.
  2. Each additional 1cm in a person's height leads to increase of 0.27kg in their weight.
  3. There is a strong, negative linear relationship between a person's height and their weight.
  4. There is a weak, positivelinear relationship between a person's height and their weight.
  5. 24% of the variability in weightcan be explained by the linear relationship betweena person's height and their weight.
  6. 6% of the variability in weightcan be explained by the linear relationship betweena person's height and their weight.
  7. There is a strong, positive linear relationship between a person's height and their weight.
  8. There is a weak, negative linear relationship between a person's height and their weight.

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