1.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?

options:

There is a weak, positivelinear relationship between a person's height and their weight.

Each additional 1kg in a person's weight leads to increase of 0.27cm in their height.

Each additional 1cm in a person's height leads to increase of 0.27kg in their weight.

6% of the variability in weightcan be explained by the linear relationship betweena person's height and their weight.

There is a weak, negative linear relationship between a person's height and their weight.

24% of the variability in weightcan be explained by the linear relationship betweena person's height and their weight.

There is a strong, negative linear relationship between a person's height and their weight.

There is a strong, positive linear relationship between a person's height and their weight.

2.Which of the following has the strongest linear relationship?

Question 1 options:

r²= 0.7

r = -0.85

r = 0.8

r²= -0.95