please use R to solve these questions

1) (5) Ratio estimation and related methods can be used for early prediction of election returns. The data below, posted on Bb, are rom 10 Florida counties. For county 1, Xi = number of votes cast for the Mparty candidate (Perot) in 1996 y; = number of votes cast for the m party candidate (Buchanan) in 2000 Assume that this data is a simple random sample from the N = 6'? Florida counties. You are also given that T): = 483,??6 Li- there were this many total votes cast for Perot in 1996 over all 67 counties. Make a scatter plot of the data and comment on whether ratio estimation seems appropriate here. Make sure that the origin (x=0, y=0) is included in your plot. W 1996Ind 2000Ir1d % 376 39 2mm 38964 7'89 3_Cha..l:l_o_t._t.g \"2183 182 4:1 gggggg 18191 446 5 Union 425 29 6 Columbia 1970 89 7 Gilchrist 841 29 3 Levy 1'?74 67 9 Pasco 18011 570 10 Bradford 819 65 2) (10) Regardless of any concerns you may have with the model assumptions, estimate the population ratio R with error bound. Interpret this in plain language based on these results, what was Buchanan's Florida popularity in 2000 as compared to Perot's in 1999 ? 3) (5) Estimate Ty with error bound. 4) (5) If we treated these ten counties as a pilot sample, use the information here to calculate a sample size n so that we may estimate 1,. with an error bound of 1000 votes