question archive You would like to investigate if democratic voting states in the US are more affected by COVID-10 than republican voting states
You would like to investigate if democratic voting states in the US are more affected by COVID-10 than republican voting states
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You would like to investigate if democratic voting states in the US are more affected by COVID-10 than republican voting states. You have data for the 50 states and the District of Colombia of the following varinbles: • state - name of the state; • Idstate - state abbreviation; - mounte was downloaded by 100000R32565495 from Caunellero.com on 12-18-2021 19:01:50 GMT-06:00 courschero.com/file/76658693)Final-Qs-Paperpd . • popn - estimate of population in 2019; density - estimate of population density (in inhabitants per kua): • democrnt. mmber of votes in 2016 Presidential Election for the democratic nominee Hilary Clinton • republican number of votes in 2016 Presidential Election for the republican nomine Donald Trump: • positive - eumlative number of positive tests: • negative - cumulative number of negative tests . dend - cum lative member of deaths of COVID-19. • winner - winner of the state, either densernt or republican. One can consider a binomial logit model for the proportion of the number of deaths caer the total number of positive cases in a state. The estimated model has this proportion as a dependent variable and density and winner as independent variables. (n) Explain why it is better to consider the number of deaths relative to the number of positive cases mother than relative to the state's population. (6 points) (1) Report and interpret the estimated parameter of the density variable, Insel on the SAS output below. (points) (c) Test if the winner variable influences the mortality rate. Give an estimate of the ratio of the odels for democrats . Topbiens as well as a confidence interval for it lased on the MIL (6 points) (1) Instead of using the winner variable, one can use the ratio of republican to democrat. Re- port the estimated parameter of this new variable and its interpretation Test it for statistical significance. Do your conclusions change? (points) One can consider a negative binotnial model for the mortality rate, with density and winner as independent variables, while taking into account the number of positive cases per state (as an ost). (c) Report and interpret the parameter Associated with winner for the negative binomial regression, Tist it for statistical significance. What do you coulde? (points) SAS OUTPUT for 92 Analysis of Maximum Likelihood Estimates Standard Wala Parimeter DF Estate Error Chi-square Pe Chisa Ears) Intercept 1 -3.6229 0.020032960.1513 <0001 0.027 density 1 -0.00024 0.000039 15.9858 20001 1.000 winner dem 1 0.2005 0.0250 64.3679 <0001 1.222 winner rep 0 0 Odds Ratio Estimates and Profile Likelihood Confidence intervals Effect Unic Estimate 95% Condence Limits density 1.0000 1.000 1.000 1.000 winner dem ys rep 1.0000 1.222 1.164 1.284 Odds Ratio Estimates and Profile-Liihond confidence intervals Effect Unle Fatimate 95% Confidence Les density 1.0000 1.000 1.000 1.000 Ratio rep/dem 1.0000 0.924 0.890 0.937 Analysis or Maximum Likelihood Parameter Estimates Likelihood Ratio Standard 95% Confidence Wala Chi Parameter DF Estimate Error Limits Square Pr>Chis Cateret 1 -3.7674 0.0752 3.9173-36159 2507.03 0001 density 1 -0.000 0.0001 -0.0002 0.0002 011 0.7360 winner dem 0.1075 0.1189 -0.1293 03492 0.x2 0.3659 winner rep 0 0.0001 0.0000 0.000 0.0000 Dispersion 1 0.13:30 0.0341 0.08 24 0.2239
