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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sweet
1
69 kgMickiewicz
2
74 kgDean
3
72 kgLupeikis
4
80 kgHincapie
5
83 kgSvorada
7
76 kgKonečný
17
67 kgVoigt
25
76 kg
1
69 kgMickiewicz
2
74 kgDean
3
72 kgLupeikis
4
80 kgHincapie
5
83 kgSvorada
7
76 kgKonečný
17
67 kgVoigt
25
76 kg
Weight (KG) →
Result →
83
67
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | MICKIEWICZ Jacek | 74 |
| 3 | DEAN Julian | 72 |
| 4 | LUPEIKIS Remigius | 80 |
| 5 | HINCAPIE George | 83 |
| 7 | SVORADA Ján | 76 |
| 17 | KONEČNÝ Tomáš | 67 |
| 25 | VOIGT Jens | 76 |