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 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Reguigui
1
69 kgKozhatayev
3
62 kgRubio
4
81 kgDougall
5
72 kgBuchmann
6
59 kgKatyrin
9
65 kgVasilyev
10
70 kgTatarinov
12
67 kgRaileanu
22
63 kgŠiškevičius
23
70 kgKerkhof
29
76 kgSirironnachai
36
61 kgSchnaidt
38
70 kgKoch
42
75 kgBizhigitov
48
76 kgTanovițchii
49
73 kgGrigorev
51
73 kg
1
69 kgKozhatayev
3
62 kgRubio
4
81 kgDougall
5
72 kgBuchmann
6
59 kgKatyrin
9
65 kgVasilyev
10
70 kgTatarinov
12
67 kgRaileanu
22
63 kgŠiškevičius
23
70 kgKerkhof
29
76 kgSirironnachai
36
61 kgSchnaidt
38
70 kgKoch
42
75 kgBizhigitov
48
76 kgTanovițchii
49
73 kgGrigorev
51
73 kg
Weight (KG) →
Result →
81
59
1
51
# | Rider | Weight (KG) |
---|---|---|
1 | REGUIGUI Youcef | 69 |
3 | KOZHATAYEV Bakhtiyar | 62 |
4 | RUBIO Diego | 81 |
5 | DOUGALL Nic | 72 |
6 | BUCHMANN Emanuel | 59 |
9 | KATYRIN Roman | 65 |
10 | VASILYEV Maksym | 70 |
12 | TATARINOV Gennadiy | 67 |
22 | RAILEANU Cristian | 63 |
23 | ŠIŠKEVIČIUS Paulius | 70 |
29 | KERKHOF Tim | 76 |
36 | SIRIRONNACHAI Sarawut | 61 |
38 | SCHNAIDT Fabian | 70 |
42 | KOCH Jonas | 75 |
48 | BIZHIGITOV Zhandos | 76 |
49 | TANOVIȚCHII Nicolae | 73 |
51 | GRIGOREV Aleksandr | 73 |