: Next, a model is fit adding Age as an additional covariate to BMI as the variables predicting smoking status. The output is here: What does the coefficient of 0.0169 mean in context? View
: Imagine that you are collecting variables while participants attempted to shoot a soccer ball. Which of the following collected variables could be predicted using a logistic regression model? View
: NHANES records whether an individual has smoked 100 cigarettes or more. The next few questions will focus on fitting models to predict whether someone has smoked 100+ cigarettes. First, a model is fit using body mass index (BMI) as the variable to predict smoking status. The output is here: View
: A 95% confidence interval for the mean brain weight for all adults in 1905 with a head size of 3400 cm3 was calculated to be (1210.14 grams, 1232.33 grams). How would the width of the 95% prediction interval for the brain weight for an individual adult in 1905 with a head size of 3400 cm3 compare to this one? View
: What is the appropriate p-value for testing if there is a significant positive linear relationship between brain weight and head size? View
: What distribution do the true errors need to follow in order to perform various inference procedures in linear regression? View
: Which of the following scatterplots would have the highest absolute correlation (i.e. shows the strongest linear relationship? View
: A new model was fit, this time adding in the two categorical variables Sex (0=male, 1=female) and Age (0=young, 20-46 years old, 1= old, 46+ years old), the model summary is shown below View
: The head size of an 8 year old child is found to be 1800 cm3, What caution(s) should be noted if asked to predict this child’s brain weight? (Select all that apply.) View
: Background for Questions 7 – 13 In 1905, R.J. Gladstone conducted a study of the relationship between brain weight and size of the head. Brain weight (grams) and head size (cubic cm) measurements were performed for 237 adults. Two categorical variables for Sex (0=male, 1=female) and Age (0=young, 20-46 years old, View
