Here is the r code (I provide the sources used for the dataset. It may require some additional r code to best put together into one flat file): # Multilevel modeling is used to account for clusters in a sample. # One assumption of linear regression models is indpenedent errors # This means that there are no relationships among individuals in the # sample that can impact the dependent (i.e., criterion) variable. # Violation of this assumptions would result poor estimations of # standard errors. # Multilevel modeling is a method of isolating the differencies # within cluster and between clusters. # Multilevel modeling also allows for the assessment of level 1 along # with higher level independent variables (i.e., predictors) that # otherwise may be overlooked without multilevel modeling. # Interpretation of an indpendent varable is specific to its level only. # Data sources: # Demographic census data by zip code # www.kaggle.com/chengjhj/zipcensusdemographics?select=zip_census_demographics.csv # Vaccine rates ny NYC zip code as of 2/20/2021 # www1.nyc.gov/site/doh/covid/covid-19-data-vaccines.page # Note. Select NYC Adults by Zip and download dashboard as crosstab # Borough and neighnorhood names by NYC zip code # www.health.ny.gov/statistics/cancer/registry/appendix/neighborhoods.htm # Note. Data are not available as spreadsheet. # load dem