Home » Fitting Statistical Models to Data with Python » What model should we use when our target outcome, or dependent variable is binary, or only has two outputs, 0 and 1? What model should we use when our target outcome, or dependent variable is binary, or only has two outputs, 0 and 1? 7. Question 7 What model should we use when our target outcome, or dependent variable is binary, or only has two outputs, 0 and 1? 1 / 1 point Hypothesis Tests Linear Regression Logistic Regression None of the above Other Questions Of This Category You are interested in predicting the probability that an NCAA men's basketball team wins their first round game in the annual NCAA men's basketball tournament, where potential predictors of the binary…You wish to fit a model to a "forced choice" binary dependent variable measuring political party preference (if you had to pick a political party, which would you select: Democratic or Republican?),…You are interested in estimating the relationship between gender (the IV) and a binary indicator of ever having experienced a major depressive disorder (the DV), where both variables were collected…After publishing a research paper describing the results from the model fitted for Question #3, you are contacted by 20 other large hospitals, and they wish to contribute to the estimation of a model…You want to fit a model that enables the prediction of a continuous measure of birth weight for all of the newborns at a single large hospital. The data arise from a simple random sample of 500…What is true about multiple linear regression and marginal linear models when dependence is present in data?Which of the following are assumptions needed for conducting a hypothesis test on the population slope in a linear regression analysis? (Select all that apply.)What type of model should we use when our target outcome, or dependent variable, is continuous?Based on the logistic regression with both Age and BMI as covariates, are the coefficients statistically significant at a two-sided 10% significance level?We’d like to predict the log odds of smoking 100+ cigarettes for a given individual using the logistic regression model with the two variables: BMI and Age. For an individual with a BMI of 22 who is…Which of the following is a possible form/shape for a logistic regression model, where the y-axis represents the probability of success?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?A researcher at a large pharmaceutical company wishes to study the effect of a new experimental drug on the amount of pain suffered by people who frequently experience migraines. The researcher…The figure below presents the fits of four different regression models to the same set of data, where there is a predictor variable (x) and a dependent variable (y) of interest. Which of the four…Which of the following scatterplot(s) would fitting a linear regression model to the data be appropriate? (Select all that apply.)