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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Novak
1
70 kgLuchshenko
2
63 kgHaller
4
68 kgKatrašnik
6
69 kgFranz
7
62 kgSchormair
8
64 kgGrabis
9
75 kgGranigan
10
76 kgDinkler
11
61 kgTsoy
12
73 kgWillwohl
13
67 kgKukrle
14
73 kgBerger
17
66 kgPer
18
68 kgNatarov
20
68 kgSchommartz
21
61 kgAckermann
22
78 kgMuzychkin
23
76 kg
1
70 kgLuchshenko
2
63 kgHaller
4
68 kgKatrašnik
6
69 kgFranz
7
62 kgSchormair
8
64 kgGrabis
9
75 kgGranigan
10
76 kgDinkler
11
61 kgTsoy
12
73 kgWillwohl
13
67 kgKukrle
14
73 kgBerger
17
66 kgPer
18
68 kgNatarov
20
68 kgSchommartz
21
61 kgAckermann
22
78 kgMuzychkin
23
76 kg
Weight (KG) →
Result →
78
61
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVAK Domen | 70 |
| 2 | LUCHSHENKO Sergey | 63 |
| 4 | HALLER Patrick | 68 |
| 6 | KATRAŠNIK Gašper | 69 |
| 7 | FRANZ Marcel | 62 |
| 8 | SCHORMAIR Fabian | 64 |
| 9 | GRABIS Mateusz | 75 |
| 10 | GRANIGAN Noah | 76 |
| 11 | DINKLER Jonathan | 61 |
| 12 | TSOY Vladimir | 73 |
| 13 | WILLWOHL Willi | 67 |
| 14 | KUKRLE Michael | 73 |
| 17 | BERGER Leon | 66 |
| 18 | PER Gorazd | 68 |
| 20 | NATAROV Yuriy | 68 |
| 21 | SCHOMMARTZ Halvard | 61 |
| 22 | ACKERMANN Pascal | 78 |
| 23 | MUZYCHKIN Anton | 76 |