: Two probabilities have been transformed using the logit function. The two values after transformation are -2 and 0.25. Which of the two values corresponds to a higher original probability? View
: Which of the following is a possible form/shape for a logistic regression model, where the y-axis represents the probability of success? View
: The 95% confidence interval for the coefficient for Age is given above as (0.014, 0.020). If instead we wanted a 90% confidence interval, how would the width of the interval change? View
: Based on the logistic regression with both Age and BMI as covariates, are the coefficients statistically significant at a two-sided 10% significance level? View
: 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
