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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Mauri
2
68 kgSergeant
5
76 kgInduráin
6
76 kgWeltz
8
65 kgSkibby
10
70 kgvan der Poel
11
70 kgLezaun
14
65 kg
2
68 kgSergeant
5
76 kgInduráin
6
76 kgWeltz
8
65 kgSkibby
10
70 kgvan der Poel
11
70 kgLezaun
14
65 kg
Weight (KG) →
Result →
76
65
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 5 | SERGEANT Marc | 76 |
| 6 | INDURÁIN Miguel | 76 |
| 8 | WELTZ Johnny | 65 |
| 10 | SKIBBY Jesper | 70 |
| 11 | VAN DER POEL Adrie | 70 |
| 14 | LEZAUN Roberto | 65 |