Home » Fitting Statistical Models to Data with Python » What is clustered data? What is clustered data? 1. Question 1 What is clustered data? 1 / 1 point Clustered data is when there are observations that are the exact same in a dataset. Data is considered clustered when our dataset features have a low variance. Clustered data is when one group in a dataset is over-represented. Data is considered clustered when observations are correlated within groups, sometimes related to study designs. Other Questions Of This Category Now, lets say that I observe two more people and I see that they also have IQs of 110. So we have three people with IQs of 110. How does the variance of my estimate change from my prior? We can do…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 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…For this problem, we are going to be using the above code to recreate some of the mathematics behind the Introduction to Bayesian Statistics lecture. The math has already been worked out for you, so…Which values for DMDEDUC2x and RIAGENDRx are represented in our intercept, or what is our reference level?What is true about multiple linear regression and marginal linear models when dependence is present in data?Which of the following is a possible form/shape for a logistic regression model, where the y-axis represents the probability of success?Which of the following features has the highest correlation between two observations in the same cluster?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?),…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…Let's say that we observe a person with an IQ of 125, as we did in the lecture. Which way should the posterior distribution, after our Bayesian update, shift?What most likely happened to our R-Squared value when we added the third predictor LSTAT to our initial 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…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 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.)
