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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gregaard
1
66 kgWallin
3
78 kgNorsgaard
4
88 kgLarsen
5
74 kgStokbro
6
70 kgSchultz
8
60 kgToudal
13
72 kg
1
66 kgWallin
3
78 kgNorsgaard
4
88 kgLarsen
5
74 kgStokbro
6
70 kgSchultz
8
60 kgToudal
13
72 kg
Weight (KG) →
Result →
88
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREGAARD Jonas | 66 |
| 3 | WALLIN Rasmus Bøgh | 78 |
| 4 | NORSGAARD Mathias | 88 |
| 5 | LARSEN Niklas | 74 |
| 6 | STOKBRO Andreas | 70 |
| 8 | SCHULTZ Jesper | 60 |
| 13 | TOUDAL Emil | 72 |