Home » Fitting Statistical Models to Data with Python » What distribution do the true errors need to follow in order to perform various inference procedures in linear regression? What distribution do the true errors need to follow in order to perform various inference procedures in linear regression? 4. Question 4 What distribution do the true errors need to follow in order to perform various inference procedures in linear regression? 1 / 1 point True errors must be N(0,1) True errors must be N(0, σ2) True errors must be Uniformly distributed True errors do not need any specific distribution Other Questions Of This Category 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.)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…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…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…Which of the following scatterplot(s) would fitting a linear regression model to the data be appropriate? (Select all that apply.)What type of model should we use when our target outcome, or dependent variable, is continuous?What model should we use when our target outcome, or dependent variable is binary, or only has two outputs, 0 and 1?Which of the following is a possible form/shape for a logistic regression model, where the y-axis represents the probability of success?Based on the logistic regression with both Age and BMI as covariates, are the coefficients statistically significant at a two-sided 10% significance level?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 study was conducted to model the linear relationship between Las Vegas nightly hotel cost (dollars) and hotel rating (on a 100 point scale). Nightly hotel cost will be used to predict hotel rating.…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…