Question

1A.) How closely is the height of an individual related to the weight? Partial regression output for a sample of 92 individuals is below.

Weight = -204.74 + 5.0918 * X and R-squared = 61.6%
R-squared tells us that ?

a.) 61.6% is not a strong relationship.

b.) 61.6% of the variability in Weight was explained by the fitted relationship.

c.) 61.6% of the variability in Weight has been eliminated.

1B.) The slope of the regression equation is?

a.) -204.74

b.) 5.0918

c.) 12.02

1C.) How closely is the weight of an adult related to age? Partial regression output for a sample of 92 adults is below.

Predictor	Coef	SE Coef	T	P
Constant	2.467	5.602	0.44	0.6661
Age	4.98	0.088	56.7	0.000

The coefficient of 4.98 is properly interpreted as telling us that:

a.) The average age goes up by 4.98 units for each additional unit of weight

b.) The average weight goes up by 4.98 units for any age

c.) The average weight goes up by 4.98 units for each additional unit of age

Answer 1

1A.) How closely is the height of an individual related to the weight? Partial regression output for a sample of 92 individuals is below.

Weight = -204.74 + 5.0918 * X and R-squared = 61.6%
R-squared tells us that ?

b.) 61.6% of the variability in Weight was explained by the fitted relationship.

1B.) The slope of the regression equation is?

Slope of regression equation is coefficient of x So slope is

b.) 5.0918

1C.) How closely is the weight of an adult related to age? Partial regression output for a sample of 92 adults is below.

Predictor	Coef	SE Coef	T	P
Constant	2.467	5.602	0.44	0.6661
Age	4.98	0.088	56.7	0.000

The coefficient of 4.98 is properly interpreted as telling us that:

c.) The average weight goes up by 4.98 units for each additional unit of age