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 = 3.7 * weight - 228
This means that on average for every extra kilogram weight a rider loses 3.7 positions in the result.
Delgado
1
64 kgKelly
9
77 kgde Rooij
38
69 kgMujika
43
73 kgDuclos-Lassalle
49
73 kgDe Wolf
81
75 kgInduráin
84
76 kg
1
64 kgKelly
9
77 kgde Rooij
38
69 kgMujika
43
73 kgDuclos-Lassalle
49
73 kgDe Wolf
81
75 kgInduráin
84
76 kg
Weight (KG) →
Result →
77
64
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELGADO Pedro | 64 |
| 9 | KELLY Sean | 77 |
| 38 | DE ROOIJ Theo | 69 |
| 43 | MUJIKA Jokin | 73 |
| 49 | DUCLOS-LASSALLE Gilbert | 73 |
| 81 | DE WOLF Fons | 75 |
| 84 | INDURÁIN Miguel | 76 |