Please show me detail step and explanation (ex: excel or eviews). Thank you. 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 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 1989:02:00 91.354 1989:03:00 108.133 1989:04:00 135.175 1990:01:00 89.134 1990:02:00 97.765 1990:03:00 97.374 1990:04:00 124.024 1991:01:00 74.589 1991:02:00 95.692 1991:03:00 96.942 1991:04:00 126.817 1992:01:00 69.907 1992:02:00 89.151 1992:03:00 94.521 1992:04:00 147.885 rpdi conf 84.18 286.6 85.04 290.3 84.57 284.5 83.61 276.1 87.52 271.4 84.9 275.4 87.18 281.7 86.31 259.2 90.73 277 88.53 280.7 92.05 288.1 89.97 279 94.92 287.6 93.94 272.8 97.93 277.4 95.14 275.3 96.6 273.8 94.11 272.8 96.63 237.4 97.7 195.4 98.65 224.9 98.01 242.2 99.33 247.9 97.59 215.6 100.27 212.3 99.92 236.8 101.62 228.3 101.43 249.6 Please show me detail step and explanation (ex: excel or eviews). Thank you. 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 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 1989:02:00 91.354 1989:03:00 108.133 1989:04:00 135.175 1990:01:00 89.134 1990:02:00 97.765 1990:03:00 97.374 1990:04:00 124.024 1991:01:00 74.589 1991:02:00 95.692 1991:03:00 96.942 1991:04:00 126.817 1992:01:00 69.907 1992:02:00 89.151 1992:03:00 94.521 1992:04:00 147.885 rpdi conf 84.18 286.6 85.04 290.3 84.57 284.5 83.61 276.1 87.52 271.4 84.9 275.4 87.18 281.7 86.31 259.2 90.73 277 88.53 280.7 92.05 288.1 89.97 279 94.92 287.6 93.94 272.8 97.93 277.4 95.14 275.3 96.6 273.8 94.11 272.8 96.63 237.4 97.7 195.4 98.65 224.9 98.01 242.2 99.33 247.9 97.59 215.6 100.27 212.3 99.92 236.8 101.62 228.3 101.43 249.6