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Midterms Travel Table Daa1E4

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Midterms Travel Table Daa1E4


1. We are given two sets of data: Midterms scores ($x$) and travel times ($y$). 2. We need to create a table including columns for $x$, $y$, $xy$, $x^2$, and $y^2$ for each participant. 3. For each participant, calculate: - $xy = x \times y$ - $x^2 = x \times x$ - $y^2 = y \times y$ 4. Below is the table with all values calculated: | Participant | $x$ | $y$ | $xy$ | $x^2$ | $y^2$ | |-------------|-----|-----|------|-------|-------| | 1 | 54 | 15 | 810 | 2916 | 225 | | 2 | 41 | 45 | 1845 | 1681 | 2025 | | 3 | 53 | 15 | 795 | 2809 | 225 | | 4 | 34 | 30 | 1020 | 1156 | 900 | | 5 | 38 | 90 | 3420 | 1444 | 8100 | | 6 | 44 | 20 | 880 | 1936 | 400 | | 7 | 38 | 60 | 2280 | 1444 | 3600 | | 8 | 26 | 15 | 390 | 676 | 225 | | 9 | 42 | 60 | 2520 | 1764 | 3600 | | 10 | 46 | 30 | 1380 | 2116 | 900 | | 11 | 44 | 45 | 1980 | 1936 | 2025 | | 12 | 47 | 8 | 376 | 2209 | 64 | | 13 | 35 | 20 | 700 | 1225 | 400 | | 14 | 40 | 20 | 800 | 1600 | 400 | | 15 | 37 | 20 | 740 | 1369 | 400 | | 16 | 34 | 10 | 340 | 1156 | 100 | | 17 | 36 | 360 | 12960| 1296 | 129600| | 18 | 34 | 15 | 510 | 1156 | 225 | | 19 | 33 | 30 | 990 | 1089 | 900 | | 20 | 38 | 20 | 760 | 1444 | 400 | | 21 | 60 | 35 | 2100 | 3600 | 1225 | | 22 | 39 | 30 | 1170 | 1521 | 900 | | 23 | 38 | 20 | 760 | 1444 | 400 | | 24 | 46 | 20 | 920 | 2116 | 400 | | 25 | 46 | 10 | 460 | 2116 | 100 | | 26 | 56 | 15 | 840 | 3136 | 225 | | 27 | 47 | 40 | 1880 | 2209 | 1600 | | 28 | 41 | 15 | 615 | 1681 | 225 | | 29 | 36 | 40 | 1440 | 1296 | 1600 | | 30 | 45 | 10 | 450 | 2025 | 100 | | 31 | 28 | 9 | 252 | 784 | 81 | | 32 | 57 | 20 | 1140 | 3249 | 400 | | 33 | 40 | 15 | 600 | 1600 | 225 | | 34 | 46 | 60 | 2760 | 2116 | 3600 | | 35 | 54 | 20 | 1080 | 2916 | 400 | | 36 | 52 | 70 | 3640 | 2704 | 4900 | | 37 | 34 | 40 | 1360 | 1156 | 1600 | | 38 | 41 | 20 | 820 | 1681 | 400 | | 39 | 34 | 30 | 1020 | 1156 | 900 | | 40 | 57 | 30 | 1710 | 3249 | 900 | | 41 | 54 | | | | | | 42 | 32 | | | | | 5. This table can be used for further statistical analysis such as correlation or regression.