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.
Halgand
1
67 kgPoli
2
87 kgSpruch
6
68 kgde Jongh
7
76 kgFeys
8
80 kgDurand
13
76 kgKirsipuu
14
80 kgPlanckaert
15
70 kg
1
67 kgPoli
2
87 kgSpruch
6
68 kgde Jongh
7
76 kgFeys
8
80 kgDurand
13
76 kgKirsipuu
14
80 kgPlanckaert
15
70 kg
Weight (KG) →
Result →
87
67
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALGAND Patrice | 67 |
| 2 | POLI Eros | 87 |
| 6 | SPRUCH Zbigniew | 68 |
| 7 | DE JONGH Steven | 76 |
| 8 | FEYS Wim | 80 |
| 13 | DURAND Jacky | 76 |
| 14 | KIRSIPUU Jaan | 80 |
| 15 | PLANCKAERT Jo | 70 |