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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Morin
2
79 kgHervé
9
60 kgBrutt
10
70 kgPencolé
11
74 kgHinault
12
63 kgArvesen
14
74 kgJohansen
20
78 kgLiese
24
75 kg
2
79 kgHervé
9
60 kgBrutt
10
70 kgPencolé
11
74 kgHinault
12
63 kgArvesen
14
74 kgJohansen
20
78 kgLiese
24
75 kg
Weight (KG) →
Result →
79
60
2
24
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MORIN Anthony | 79 |
| 9 | HERVÉ Cédric | 60 |
| 10 | BRUTT Pavel | 70 |
| 11 | PENCOLÉ Franck | 74 |
| 12 | HINAULT Sébastien | 63 |
| 14 | ARVESEN Kurt-Asle | 74 |
| 20 | JOHANSEN Allan | 78 |
| 24 | LIESE Thomas | 75 |