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 = 0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Savitskiy
1
72 kgShumov
2
65 kgBalykin
3
68 kgStević
5
66 kgGerganov
7
60 kgWachter
8
72 kgPiasetski
12
66 kgTopchanyuk
16
65 kgEvtushenko
23
72 kgJovanović
24
60 kgKurbatov
31
73 kgZhurkin
32
77 kgKritskiy
33
81 kgBalkan
34
64 kgKüçükbay
35
70 kgRiabushenko
36
61 kgPetrovski
40
69 kgBeganovic
42
64.7 kgSuchev
46
68 kgFurlanski
48
63 kgCholakov
56
66 kg
1
72 kgShumov
2
65 kgBalykin
3
68 kgStević
5
66 kgGerganov
7
60 kgWachter
8
72 kgPiasetski
12
66 kgTopchanyuk
16
65 kgEvtushenko
23
72 kgJovanović
24
60 kgKurbatov
31
73 kgZhurkin
32
77 kgKritskiy
33
81 kgBalkan
34
64 kgKüçükbay
35
70 kgRiabushenko
36
61 kgPetrovski
40
69 kgBeganovic
42
64.7 kgSuchev
46
68 kgFurlanski
48
63 kgCholakov
56
66 kg
Weight (KG) →
Result →
81
60
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 2 | SHUMOV Nikolai | 65 |
| 3 | BALYKIN Ivan | 68 |
| 5 | STEVIĆ Ivan | 66 |
| 7 | GERGANOV Evgeni | 60 |
| 8 | WACHTER Alexander | 72 |
| 12 | PIASETSKI Aliaksandr | 66 |
| 16 | TOPCHANYUK Artem | 65 |
| 23 | EVTUSHENKO Alexander | 72 |
| 24 | JOVANOVIĆ Nebojša | 60 |
| 31 | KURBATOV Alexey | 73 |
| 32 | ZHURKIN Nikolay | 77 |
| 33 | KRITSKIY Timofey | 81 |
| 34 | BALKAN Serkan | 64 |
| 35 | KÜÇÜKBAY Kemal | 70 |
| 36 | RIABUSHENKO Alexandr | 61 |
| 40 | PETROVSKI Stefan | 69 |
| 42 | BEGANOVIC Ernad | 64.7 |
| 46 | SUCHEV Mario | 68 |
| 48 | FURLANSKI Velizar | 63 |
| 56 | CHOLAKOV Stanimir | 66 |