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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Marengo
1
69 kgÖrken
4
69 kgGee
7
72 kgBalykin
8
68 kgTagliani
9
70 kgJamieson
10
75 kgKiskonen
11
64 kg
1
69 kgÖrken
4
69 kgGee
7
72 kgBalykin
8
68 kgTagliani
9
70 kgJamieson
10
75 kgKiskonen
11
64 kg
Weight (KG) →
Result →
75
64
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARENGO Umberto | 69 |
| 4 | ÖRKEN Ahmet | 69 |
| 7 | GEE Derek | 72 |
| 8 | BALYKIN Ivan | 68 |
| 9 | TAGLIANI Filippo | 70 |
| 10 | JAMIESON Adam | 75 |
| 11 | KISKONEN Siim | 64 |