When mining for association rules, in general, rank the following itemsets according to their likely support. i.e., 1 - highest support, 2-next highest, etc.

Would like some help with these. Thank you!

{coffee, milk, bagel, donut, soda}, {coffee, bagel}, {coffee, donut, bagel)? {coffee, milk, bagel, donut, soda) {coffee, bagel} {coffee, donut, bagel} According to the association rules shown, how many times more likely is a person buying items 170 and 41 to also buy item 38? Round your answer to 2 decimal places. lhs rhs support confidence lift count [1] {41} => {48) 0.102288968 0.6034125 1.262562 9018 [2] {41} => {39) 0.129466210 0.7637337 1.328708 11414 [3] (170,41) => {38) 0.009006148 0.9863354 5.575616 794 [4] {41,65) => {39) 0.008983462 0.7959799 1.384809 792 [5] {38,41} => {48} 0.026927701 0.6091866 1.274644 2374 [6] {38, 41} => {39} 0.034606747 0.7829099 1.362070 3051 [7] {32,41} => {48} 0.023400104 0.6454944 1.350613 2063 [8] {32,41} => {39) 0.026757560 0.7381101 1.284130 2359 [9] {41,48) => {39} 0.083550736 0.8168108 1.421049 7366 [10] {39,41) => {48} 0.083550736 0.6453478 1.350306 7366 [11] {38,41,48} => {39} 0.022583426 0.8386689 1.459077 1991 [12] {38, 39, 41) => {48} 0.022583426 0.6525729 1.365424 1991 [13] {32,41,48} => {39} 0.018670175 0.7978672 1.388092 1646 [14] {32, 39, 41) => (48) 0.018670175 0.6977533 1.459958 1646 According to the associate rules shown, what percent of the time that a person has items 32 and 41 in their basket, do they also have item 48? Enter as a percentage (i.e, 0.1345 becomes 13.45%) and round to 2 percentage decimal places. lhs rhs support confidence lift count [1] {41} => {48) 0.102288968 0.6034125 1.262562 9018 [2] {41} => {39) 0.129466210 0.7637337 1.328708 11414 [3] (170,41) => {38) 0.009006148 0.9863354 5.575616 794 [4] {41,65} => {39} 0.008983462 0.7959799 1.384809 792 [5] (38,41) => {48} 0.026927701 0.6091866 1.274644 2374 [6] {38,41} => {39} 0.034606747 0.7829099 1.362070 3051 [7] {32,41) => {48} 0.023400104 0.6454944 1.350613 2063 [8] {32,41} => {39) 0.026757560 0.7381101 1.284130 2359 [9] {41,48} => {39} 0.083550736 0.8168108 1.421049 7366 [10] {39, 41) => {48} 0.083550736 0.6453478 1.350306 7366 [11] {38, 41,48} => {39} 0.022583426 0.8386689 1.459077 1991 [12] {38, 39, 41) => (48) 0.022583426 0.6525729 1.365424 1991 [13] {32,41,48} => {39} 0.018670175 0.7978672 1.388092 1646 [14] {32,39,41) => {48) 0.018670175 0.6977533 1.459958 1646