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 = -1.2 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Gudnitz
1
69 kgWandahl
2
61 kgAagaard Hansen
6
77 kgHertz
7
68 kgDue Kaspersen
14
76 kgSchrøder
16
79 kgLarsen
17
70 kgPedersen
27
74 kgKjeldsen
28
69 kgLock
36
58 kgErringsø
55
67 kgFoldager
58
69 kgSchandorff Iwersen
62
62 kgMengel
63
65 kgAndresen
64
69 kgRosenlund
67
72 kgJørgensen
68
68 kg
1
69 kgWandahl
2
61 kgAagaard Hansen
6
77 kgHertz
7
68 kgDue Kaspersen
14
76 kgSchrøder
16
79 kgLarsen
17
70 kgPedersen
27
74 kgKjeldsen
28
69 kgLock
36
58 kgErringsø
55
67 kgFoldager
58
69 kgSchandorff Iwersen
62
62 kgMengel
63
65 kgAndresen
64
69 kgRosenlund
67
72 kgJørgensen
68
68 kg
Weight (KG) →
Result →
79
58
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUDNITZ Joshua | 69 |
| 2 | WANDAHL Frederik | 61 |
| 6 | AAGAARD HANSEN Tobias | 77 |
| 7 | HERTZ Benjamin | 68 |
| 14 | DUE KASPERSEN Kasper | 76 |
| 16 | SCHRØDER Lucas | 79 |
| 17 | LARSEN Ruben Zilas | 70 |
| 27 | PEDERSEN Rasmus Søjberg | 74 |
| 28 | KJELDSEN Christian Spang | 69 |
| 36 | LOCK Dennis | 58 |
| 55 | ERRINGSØ Frederik | 67 |
| 58 | FOLDAGER Anders | 69 |
| 62 | SCHANDORFF IWERSEN Emil | 62 |
| 63 | MENGEL Nikolaj | 65 |
| 64 | ANDRESEN Tobias Lund | 69 |
| 67 | ROSENLUND Stian | 72 |
| 68 | JØRGENSEN Adam Holm | 68 |