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 = 1.2 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Firsanov
2
58 kgMamykin
12
62 kgSerov
14
77 kgGrigorev
15
73 kgErshov
17
70 kgVasilyev
19
70 kgKurbatov
20
73 kgKritskiy
22
81 kgPapok
24
76 kgMaikin
25
68 kgKatyrin
29
65 kgRamanau
30
68 kgAhiyevich
32
70 kgPiasetski
33
66 kgTsishkou
34
72 kgDubovski
48
75 kgKobernyak
50
59 kgStash
54
77 kgStrokau
55
74 kgSavitskiy
59
72 kgShemetau
64
79 kgBoev
69
74 kgAkhramenka
70
78 kg
2
58 kgMamykin
12
62 kgSerov
14
77 kgGrigorev
15
73 kgErshov
17
70 kgVasilyev
19
70 kgKurbatov
20
73 kgKritskiy
22
81 kgPapok
24
76 kgMaikin
25
68 kgKatyrin
29
65 kgRamanau
30
68 kgAhiyevich
32
70 kgPiasetski
33
66 kgTsishkou
34
72 kgDubovski
48
75 kgKobernyak
50
59 kgStash
54
77 kgStrokau
55
74 kgSavitskiy
59
72 kgShemetau
64
79 kgBoev
69
74 kgAkhramenka
70
78 kg
Weight (KG) →
Result →
81
58
2
70
# | Rider | Weight (KG) |
---|---|---|
2 | FIRSANOV Sergey | 58 |
12 | MAMYKIN Matvey | 62 |
14 | SEROV Alexander | 77 |
15 | GRIGOREV Aleksandr | 73 |
17 | ERSHOV Artur | 70 |
19 | VASILYEV Maksym | 70 |
20 | KURBATOV Alexey | 73 |
22 | KRITSKIY Timofey | 81 |
24 | PAPOK Siarhei | 76 |
25 | MAIKIN Roman | 68 |
29 | KATYRIN Roman | 65 |
30 | RAMANAU Raman | 68 |
32 | AHIYEVICH Aleh | 70 |
33 | PIASETSKI Aliaksandr | 66 |
34 | TSISHKOU Raman | 72 |
48 | DUBOVSKI Vladzislau | 75 |
50 | KOBERNYAK Evgeny | 59 |
54 | STASH Mamyr | 77 |
55 | STROKAU Vasili | 74 |
59 | SAVITSKIY Ivan | 72 |
64 | SHEMETAU Mikhail | 79 |
69 | BOEV Igor | 74 |
70 | AKHRAMENKA Yauheni | 78 |