Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 2.1 * weight - 110
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Firsanov
1
58 kgMamykin
3
62 kgKobernyak
12
59 kgKatyrin
13
65 kgKritskiy
15
81 kgVasilyev
22
70 kgDubovski
24
75 kgPiasetski
26
66 kgStash
33
77 kgStrokau
37
74 kgMaikin
39
68 kgRamanau
49
68 kgPapok
50
76 kgGrigorev
53
73 kgSavitskiy
54
72 kgAhiyevich
55
70 kgSerov
57
77 kgErshov
58
70 kgAkhramenka
62
78 kgBoev
65
74 kgKurbatov
69
73 kgShemetau
71
79 kgTsishkou
72
72 kg
1
58 kgMamykin
3
62 kgKobernyak
12
59 kgKatyrin
13
65 kgKritskiy
15
81 kgVasilyev
22
70 kgDubovski
24
75 kgPiasetski
26
66 kgStash
33
77 kgStrokau
37
74 kgMaikin
39
68 kgRamanau
49
68 kgPapok
50
76 kgGrigorev
53
73 kgSavitskiy
54
72 kgAhiyevich
55
70 kgSerov
57
77 kgErshov
58
70 kgAkhramenka
62
78 kgBoev
65
74 kgKurbatov
69
73 kgShemetau
71
79 kgTsishkou
72
72 kg
Weight (KG) →
Result →
81
58
1
72
# | Rider | Weight (KG) |
---|---|---|
1 | FIRSANOV Sergey | 58 |
3 | MAMYKIN Matvey | 62 |
12 | KOBERNYAK Evgeny | 59 |
13 | KATYRIN Roman | 65 |
15 | KRITSKIY Timofey | 81 |
22 | VASILYEV Maksym | 70 |
24 | DUBOVSKI Vladzislau | 75 |
26 | PIASETSKI Aliaksandr | 66 |
33 | STASH Mamyr | 77 |
37 | STROKAU Vasili | 74 |
39 | MAIKIN Roman | 68 |
49 | RAMANAU Raman | 68 |
50 | PAPOK Siarhei | 76 |
53 | GRIGOREV Aleksandr | 73 |
54 | SAVITSKIY Ivan | 72 |
55 | AHIYEVICH Aleh | 70 |
57 | SEROV Alexander | 77 |
58 | ERSHOV Artur | 70 |
62 | AKHRAMENKA Yauheni | 78 |
65 | BOEV Igor | 74 |
69 | KURBATOV Alexey | 73 |
71 | SHEMETAU Mikhail | 79 |
72 | TSISHKOU Raman | 72 |