I need help with question b. i-iv. 3. You will now use linear regression to inve
ID: 2946092 • Letter: I
Question
I need help with question b. i-iv. 3. You will now use linear regression to investigate the claim that some votes cast for Buchanan using the "butterfly ballot" were really intended for Gore. The logic is this: if we can make a regression model to predict how many votes Buchanan would have gotten in Palm Beach county, we can compare this prediction to the number he actually got, and see how much they differ Use Fit Y by X to estimate a simple linear regression model in which total number of votes cast is the predictor variable and number of votes cast for Buchanan is the response. a.The theoretical model should be written as... (You have two attempts for each blank, and these can be answered one at a time rather than all at once) b. Report the following summary statistics from JMP i. bo: 50,1778 (report to exactly four decimal places) li bt0023 i, R400447 iv. The statistic that tests Hof ?1-0145 ] (report to exactly four decimal places) c. The statistics you just reported in parts i, l, ill, and iw above can all be interpreted in the context of this regression model, Match each statistic to a valid interpretation, Note that two will not be used. (You have 5 attempts, and you must get all correct for credit) iv, he proportion of the variability in votes for Buchanan across coun How many times bigger the estimated slope was th an its standard error he number of voters who voted for someone other than Buchanan, for each voter who vored for Buchanan ies that can be attrbuted to diferences in total number of votes cast The number of votes for Buchanan that our model would predict if no one had voted in the e ection d. Th The probability we would The number of extra votes for Buchanan that our model would oredict for esch adotonal person who voted in the elect calculate a slope at least as big as the one we calculated, if the population slope were zero reate bdata,jmpExplanation / Answer
i) b0 : The number of votes for Buchanan that our model would predict if no one had voted in the election.
ii) b1 : The number of extra votes for Buchanan that our model would predict for each additional person who voted in the election
iii) R^2 : The proportion of the variability in votes for Buchanan across countries that can be attributed to the difference in total vote cast.
iv) H0: b1 = 0 How many times bigger the estimated slope was than its standard error