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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Frank
1
64 kgWyss
2
63 kgHollenstein
4
80 kgTaramarcaz
5
64 kgBär
8
66 kgKohler
15
69 kgSaggiorato
25
58 kg
1
64 kgWyss
2
63 kgHollenstein
4
80 kgTaramarcaz
5
64 kgBär
8
66 kgKohler
15
69 kgSaggiorato
25
58 kg
Weight (KG) →
Result →
80
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRANK Mathias | 64 |
| 2 | WYSS Marcel | 63 |
| 4 | HOLLENSTEIN Reto | 80 |
| 5 | TARAMARCAZ Julien | 64 |
| 8 | BÄR Michael | 66 |
| 15 | KOHLER Martin | 69 |
| 25 | SAGGIORATO Mirco | 58 |