option E) is correct
normality condition is not met, as data deviates from line
residuals are not random and form inverted U pattern, which means there is hetereskedasticity
Please give me a thumbs-up if this helps you out. Thank you! :)
A study was conducted on 64 female college athletes. The researcher collected data on a number...
1-
2-
Thank you!
Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) 4.358 (height) 0.713 (percent body fat)-85.095. If a female athlete is 65 inches tall, has a 16 percentage of body fat, and a weight of 210.005. What is the residual? 1) -84.673 2) 0.422 3) We do...
Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 4.362*(height) + 1.002*(percent body fat) - 1.187*(age) - 94.058. If a female athlete is 61 inches tall, has a 23 percentage of body fat, is 24 years old, and has a weight of 198.339. What is the residual? Question...
Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 4.362*(height) + 1.002*(percent body fat) - 1.187*(age) - 94.058. If a female athlete is 61 inches tall, has a 23 percentage of body fat, is 24 years old, and has a weight of 198.339. What is the residual? Question...
Suppose that a researcher wants to predict the weight of female
college athletes based on their height and percent body fat. If a
sample is taken and the following regression table is produced,
interpret the slope of the percent body fat variable.
Question 8 options:
1)
When percent body fat increases by 1 percent, weight increases
by 1.064 pounds, holding all other variables constant.
2)
When percent body fat decreases by 1 percent, weight increases
by 1.064 pounds, holding all...
Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 4.767*(height) + 0.687*(percent body fat) - 1.028*(age) - 85.889. If a female athlete is 66 inches tall, has a 17 percentage of body fat, and is 21 years old, what is her expected weight?
Question 17 (1 point) Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 3.797*(height) + 0.975*(percent body fat) - 0.87*(age) - 87.335. If a female athlete is 65 inches tall, has a 25 percentage of body fat, is 23 years old, and has a weight of 203.84, the...
Question 12 (1 point) Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 4.73*(height) + 1.45*(percent body fat) - 0.712*(age) - 84.809. If a female athlete is 64 inches tall, has a 19 percentage of body fat, is 19 years old, and has a weight of 235.297, the...
Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) = 3.86*(height) + 1.413*(percent body fat) - 83.495. If a female athlete is 60 inches tall, has a 22 percentage of body fat, and a weight of 200.037, the residual is 20.846. Choose the correct interpretation of the residual. Question 12...
Question 25 (1 point) Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) = 4.264*(height) + 1.062*(percent body fat) - 84.772. If a female athlete is 67 inches tall, has a 21 percentage of body fat, and a weight of 219.694, the residual is -3.524. Choose the correct interpretation of...
Suppose that a researcher wants to predict the weight of female college athletes based on their height, percent body fat, and age. A sample is taken and the following regression table is produced. Based on the F-test alone, what is the correct conclusion about the regression slopes? Question 23 options: 1) All the regression slopes do not equal zero. 2) All the regression slopes are equal to zero. 3) At least one of the regression slopes does not equal zero....