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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Loddo
2
60 kgMurn
3
70 kgPower
6
68 kgKlemenčič
7
69 kgMoreni
9
65 kgPantani
26
58 kgCelestino
39
67 kg
2
60 kgMurn
3
70 kgPower
6
68 kgKlemenčič
7
69 kgMoreni
9
65 kgPantani
26
58 kgCelestino
39
67 kg
Weight (KG) →
Result →
70
58
2
39
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LODDO Alberto | 60 |
| 3 | MURN Uroš | 70 |
| 6 | POWER Ciarán | 68 |
| 7 | KLEMENČIČ Zoran | 69 |
| 9 | MORENI Cristian | 65 |
| 26 | PANTANI Marco | 58 |
| 39 | CELESTINO Mirko | 67 |