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 = -0.5 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Maciejuk
1
78 kgHollmann
2
70 kgSajnok
3
75 kgHaller
4
68 kgTsoy
5
73 kgRajović
6
74 kgOreel
7
72 kgNolde
8
79 kgKrawczyk
10
79 kgPer
11
68 kgKierner
12
79 kgBajc
13
65 kgBárta
15
79 kgAular
17
65 kgBanusch
20
78 kgLašinis
21
69 kgKuzmin
22
66 kgTaebling
24
77 kgReutter
28
72 kgMangertseder
31
69 kgIvashkin
35
73 kgAnsons
37
77 kgMusie
40
59 kgMalcharek
41
74 kg
1
78 kgHollmann
2
70 kgSajnok
3
75 kgHaller
4
68 kgTsoy
5
73 kgRajović
6
74 kgOreel
7
72 kgNolde
8
79 kgKrawczyk
10
79 kgPer
11
68 kgKierner
12
79 kgBajc
13
65 kgBárta
15
79 kgAular
17
65 kgBanusch
20
78 kgLašinis
21
69 kgKuzmin
22
66 kgTaebling
24
77 kgReutter
28
72 kgMangertseder
31
69 kgIvashkin
35
73 kgAnsons
37
77 kgMusie
40
59 kgMalcharek
41
74 kg
Weight (KG) →
Result →
79
59
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MACIEJUK Filip | 78 |
| 2 | HOLLMANN Juri | 70 |
| 3 | SAJNOK Szymon | 75 |
| 4 | HALLER Patrick | 68 |
| 5 | TSOY Vladimir | 73 |
| 6 | RAJOVIĆ Dušan | 74 |
| 7 | OREEL Lars | 72 |
| 8 | NOLDE Tobias | 79 |
| 10 | KRAWCZYK Szymon | 79 |
| 11 | PER Gorazd | 68 |
| 12 | KIERNER Florian | 79 |
| 13 | BAJC Andi | 65 |
| 15 | BÁRTA Tomáš | 79 |
| 17 | AULAR Orluis | 65 |
| 20 | BANUSCH Richard | 78 |
| 21 | LAŠINIS Venantas | 69 |
| 22 | KUZMIN Anton | 66 |
| 24 | TAEBLING Paul | 77 |
| 28 | REUTTER Sven | 72 |
| 31 | MANGERTSEDER Matthias | 69 |
| 35 | IVASHKIN Anton | 73 |
| 37 | ANSONS Kristers | 77 |
| 40 | MUSIE Saymon | 59 |
| 41 | MALCHAREK Moritz | 74 |