8:8 d21.depaul.edu ECO304_WEEK6_HW - ANALYTICS FOR... Home | Microsoft 365 in Notifications | LinkedIn Sign into Dropbox in Feed | Linkedin use https : //bigblue . depaul . edu/jlee141/econdata/eco304/puma2010. dta Please note the variable labels to understand the meanings of variables. Here the description of the variables puma: Name of PUMAs unemployment: Unemployment rate fulltime: Ratio of fulltime workers among adult population education: High school graduate rate black: Ratio of Black populations hincome: Median household income lhincome: Log of Median household income 1. Find correlation coefficients among variables and explain the linear relationships between hincome with other variables except PUMA. 2. Estimate the following regression models, summarize the regression models using esttab function in STATA, and carefully explain the economic meaning of each coefficient for Model 4 Model 1 : hincome; =Bo + B,unemployment + er Model 2 : hincome, =Bo + B,unemployment + B2 fulltime, + ez Model 3 : hincome, =B. + B,unemployment + B2 fulltime, + Byeducation; + est Model 4 : hincome; = Bo + B,unemployment + B2 fulltime, + Byeducation, + BAblack; + ext 3. Using R2 and adjust R?, find which model is the best in terms of goodness-to-fit. 4. What are the degrees of freedom for SST, SSE, and SSR from Model4? Explain why they have different degrees of freedom.0 @ d2l.depaul.edu @ @ r o