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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Savitskiy
1
72 kgTopchanyuk
3
65 kgShumov
4
65 kgStević
5
66 kgBalykin
6
68 kgPiasetski
11
66 kgGerganov
12
60 kgJovanović
13
60 kgRiabushenko
24
61 kgCholakov
26
66 kgZhurkin
30
77 kgKurbatov
31
73 kgEvtushenko
32
72 kgKritskiy
33
81 kgBalkan
35
64 kgPetrovski
39
69 kgFurlanski
40
63 kgKüçükbay
41
70 kgSuchev
44
68 kgBeganovic
46
64.7 kg
1
72 kgTopchanyuk
3
65 kgShumov
4
65 kgStević
5
66 kgBalykin
6
68 kgPiasetski
11
66 kgGerganov
12
60 kgJovanović
13
60 kgRiabushenko
24
61 kgCholakov
26
66 kgZhurkin
30
77 kgKurbatov
31
73 kgEvtushenko
32
72 kgKritskiy
33
81 kgBalkan
35
64 kgPetrovski
39
69 kgFurlanski
40
63 kgKüçükbay
41
70 kgSuchev
44
68 kgBeganovic
46
64.7 kg
Weight (KG) →
Result →
81
60
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 3 | TOPCHANYUK Artem | 65 |
| 4 | SHUMOV Nikolai | 65 |
| 5 | STEVIĆ Ivan | 66 |
| 6 | BALYKIN Ivan | 68 |
| 11 | PIASETSKI Aliaksandr | 66 |
| 12 | GERGANOV Evgeni | 60 |
| 13 | JOVANOVIĆ Nebojša | 60 |
| 24 | RIABUSHENKO Alexandr | 61 |
| 26 | CHOLAKOV Stanimir | 66 |
| 30 | ZHURKIN Nikolay | 77 |
| 31 | KURBATOV Alexey | 73 |
| 32 | EVTUSHENKO Alexander | 72 |
| 33 | KRITSKIY Timofey | 81 |
| 35 | BALKAN Serkan | 64 |
| 39 | PETROVSKI Stefan | 69 |
| 40 | FURLANSKI Velizar | 63 |
| 41 | KÜÇÜKBAY Kemal | 70 |
| 44 | SUCHEV Mario | 68 |
| 46 | BEGANOVIC Ernad | 64.7 |