Hi guys, can you please help me this question and explain your working? Thank heaps!

This question considers voter turnout by perceived closeness of the election and intensity of partisan preference for the 1956 U.S. presidential election. Data were originally taken from the American Voter. The structure of the data is as follows: ' data. frame ' : 12 obs. of 4 variables: $ Closesness: Factor w/ 2 levels "Close", "OneSided": 2 2 2 2 2 2 1 1 1 1 $ Intensity : Factor w/ 3 levels "Medium", "Strong", . .: 3112 23 31 1 $ Voted Factor w/ 2 levels "No", "Yes": 2 1 2 1 2 1 2 1 2 1 . . . $ Count : int 91 39 121 49 64 24 214 87 284 76 . The primary research wanted to understand the relationships between perceived closeness [1], intensity of partisan preference [2] and voter turnout [3]. In this analysis we wish to know if these three factors are associated or not using Log-linear models. The outcome from fitting all possible log-linear models (using the three factors in the order given above) was: Model df Deviance 1 [1][2][3] 36.39 2 [1] [23] 16.96 U O U V w [13][2] 27.78 4 [12][3] 34.83 5 [12] [23] 15.40 - W 6 [13] [23] 8.35 7 [12][13] A 26.22 8 [12] [13] [23] N 7.12 9 [123] 0.00 a) Which model is the best one to explain the interrelationships among the three factors? Justify your selection [2 marks] b) What table (or tables) of the data would you recommend be constructed that will show the interactions from your chosen model [2 marks] C) What would the difference between models 3 and 6 be testing and what conclusion would you draw from this comparison? [2 marks] d) Which pair(s) of model(s) test the association between Voter Turnout and perceived closeness? [2 marks] e) Given your answers above, what table (or tables) would you recommend presenting to the researcher that would most appropriately demonstrate the suitability of your preferred model? [2 marks] Page 3 of 13