I need help completing this project. it's based on sas https://welcome.oda.sas.com/. if you need my log in I'll be able to provide.

Summary of your analysis, process and what discoveries/insights were gained? References Include any references here. Modeling (Extra Credit) + 5 points Create a predictive model (eg: Linear Regression or Logistic Regression) Data Dictionary Census.sas7bdat - provides socioeconomic indicators for communities in Chicago. See; https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-i n-C/kn9c-c2s2 Community Area Number - Chicago Community Area number PERCENT OF HOUSING CROWDED - % occupied housing units with more than one person per room PERCENT HOUSEHOLDS BELOW POVERTY-% of households living below the federal poverty level PERCENT AGED 16+ UNEMPLOYED - % of persons over age 16 that are unemployed PERCENT AGED 25+ WITHOUT HIGH SCHOOL DIPLOMA - % of persons over age 25 without a high school education PERCENT AGED UNDER 18 OR OVER 64 - % of the population under 18 or over 64 years of age (i.e., dependency) PER CAPITA INCOME - Community Area Per capita income is estimated as the sum of tract-level aggregate incomes divided by the total population HARDSHIP INDEX-Score that incorporates each of the six selected socioeconomic Crime.sas/bdat - sample of the "Crimes - 2001 to present" data set that is available from the City of Chicago data portal. See https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2 ID: Unique identifier for a record. Case Number : Chicago Police Division Record Number. Date: Date of the incident. Block: The abbreviated address for the criminal activity. IUCR: Internal Uniform Chicago Crime Reporting Code. Primary Type: Type of crime Description: Little more details about the criminal activity Location Description: Location where the crime occured. Arrest: Boolean indicating whether arrest was made.