Question 2 Estimate the effects of ban and sugar sweet_cap on diabetes using the data in...

 

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Question 2 Estimate the effects of ban and sugar sweet_cap on diabetes using the data in Data 2 where diabetes = diabetes prevalence in country ban = 1 if some type of ban on genetically modified goods is present, O otherwise sugar_sweet_cap = domestic supply of sugar and sweeteners per capita, in kg What other variables could have been included in the model? obs sales rpdi 1986:01:00 53.714 1986:02:00 71.501 1986:03:00 96.374 1986:04:00 125.041 1987:01:00 78.61 1987:02:00 89.609 1987:03:00 104.022 1987:04:00 108.558 1988:01:00 64.741 1988:02:00 80.058 1988:03:00 110.671 1988:04:00 144.587 1989:01:00 81.589 84.18 85.04 84.57 83.61 87.52 84.9 87.18 86.31 90.73 88.53 92.05 89.97 94.92 1989:02:00 91.354 93.94 1989:03:00 108.133 97.93 1989:04:00 135.175 95.14 1990:01:00 89.134 96.6 1990:02:00 97.765 94.11 1990:03:00 97.374 96.63 1990:04:00 124.024 97.7 1991:01:00 74.589 98.65 1991:02:00 95.692 98.01 1991:03:00 96.942 99.33 1991:04:00 126.817 97.59 1992:01:00 69.907 100.27 1992:02:00 89.151 99.92 1992:03:00 94.521 101.62 1992:04:00 147.885 101.43 conf 286.6 290.3 284.5 276.1 271.4 275.4 281.7 259.2 277 280.7 288.1 279 287.6 272.8 277.4 275.3 273.8 272.8 237.4 195.4 224.9 242.2 247.9 215.6 212.3 236.8 228.3 249.6 Question 2 Estimate the effects of ban and sugar sweet_cap on diabetes using the data in Data 2 where diabetes = diabetes prevalence in country ban = 1 if some type of ban on genetically modified goods is present, O otherwise sugar_sweet_cap = domestic supply of sugar and sweeteners per capita, in kg What other variables could have been included in the model? obs sales rpdi 1986:01:00 53.714 1986:02:00 71.501 1986:03:00 96.374 1986:04:00 125.041 1987:01:00 78.61 1987:02:00 89.609 1987:03:00 104.022 1987:04:00 108.558 1988:01:00 64.741 1988:02:00 80.058 1988:03:00 110.671 1988:04:00 144.587 1989:01:00 81.589 84.18 85.04 84.57 83.61 87.52 84.9 87.18 86.31 90.73 88.53 92.05 89.97 94.92 1989:02:00 91.354 93.94 1989:03:00 108.133 97.93 1989:04:00 135.175 95.14 1990:01:00 89.134 96.6 1990:02:00 97.765 94.11 1990:03:00 97.374 96.63 1990:04:00 124.024 97.7 1991:01:00 74.589 98.65 1991:02:00 95.692 98.01 1991:03:00 96.942 99.33 1991:04:00 126.817 97.59 1992:01:00 69.907 100.27 1992:02:00 89.151 99.92 1992:03:00 94.521 101.62 1992:04:00 147.885 101.43 conf 286.6 290.3 284.5 276.1 271.4 275.4 281.7 259.2 277 280.7 288.1 279 287.6 272.8 277.4 275.3 273.8 272.8 237.4 195.4 224.9 242.2 247.9 215.6 212.3 236.8 228.3 249.6

Answer rating: 100% (QA)

SOLUTION To estimate the effects of the ban on genetically modified goods and sugar sweetener consumption on diabetes prevalence you can use a regression model In addition to the variables provided ba... View the full answer