Background
These data were aggregated from a number of sources including the American Community Survey (census.gov), clinicaltrials.gov, and cancer.gov. Most of the data preparation process can be veiwed here. Your Task: Build a multivariate Ordinary Least Squares regression model to predict "TARGET_deathRate" Deliverables
Data Dictionary
TARGET_deathRate: Dependent variable. Mean per capita (100,000) cancer mortalities(a)
avgAnnCount: Mean number of reported cases of cancer diagnosed annually(a)
avgDeathsPerYear: Mean number of reported mortalities due to cancer(a)
incidenceRate: Mean per capita (100,000) cancer diagoses(a)
medianIncome: Median income per county (b)
popEst2015: Population of county (b)
povertyPercent: Percent of populace in poverty (b)
studyPerCap: Per capita number of cancer-related clinical trials per county (a)
binnedInc: Median income per capita binned by decile (b)
MedianAge: Median age of county residents (b)
MedianAgeMale: Median age of male county residents (b)
MedianAgeFemale: Median age of female county residents (b)
Geography: County name (b)
AvgHouseholdSize: Mean household size of county (b)
PercentMarried: Percent of county residents who are married (b)
PctNoHS18_24: Percent of county residents ages 18-24 highest education attained: less than high school (b)
PctHS18_24: Percent of county residents ages 18-24 highest education attained: high school diploma (b)
PctSomeCol18_24: Percent of county residents ages 18-24 highest education attained: some college (b)
PctBachDeg18_24: Percent of county residents ages 18-24 highest education attained: bachelor's degree (b)
PctHS25_Over: Percent of county residents ages 25 and over highest education attained: high school diploma (b)
PctBachDeg25_Over: Percent of county residents ages 25 and over highest education attained: bachelor's degree (b)
PctEmployed16_Over: Percent of county residents ages 16 and over employed (b)
PctUnemployed16_Over: Percent of county residents ages 16 and over unemployed (b)
PctPrivateCoverage: Percent of county residents with private health coverage (b)
PctPrivateCoverageAlone: Percent of county residents with private health coverage alone (no public assistance) (b)
PctEmpPrivCoverage: Percent of county residents with employee-provided private health coverage (b)
PctPublicCoverage: Percent of county residents with government-provided health coverage (b)
PctPubliceCoverageAlone: Percent of county residents with government-provided health coverage alone (b)
PctWhite: Percent of county residents who identify as White (b)
PctBlack: Percent of county residents who identify as Black (b)
PctAsian: Percent of county residents who identify as Asian (b)
PctOtherRace: Percent of county residents who identify in a category which is not White, Black, or Asian (b)
PctMarriedHouseholds: Percent of married households (b)
BirthRate: Number of live births relative to number of women in county (b)
(a): years 2010-2016
(b): 2013 Census Estimates