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 = -1.1 * weight + 83
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Kelly
1
77 kgMadiot
2
68 kgRoche
3
74 kgFignon
6
67 kgDuclos-Lassalle
7
73 kgBernaudeau
13
64 kgBourreau
22
63 kg
1
77 kgMadiot
2
68 kgRoche
3
74 kgFignon
6
67 kgDuclos-Lassalle
7
73 kgBernaudeau
13
64 kgBourreau
22
63 kg
Weight (KG) →
Result →
77
63
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | MADIOT Marc | 68 |
| 3 | ROCHE Stephen | 74 |
| 6 | FIGNON Laurent | 67 |
| 7 | DUCLOS-LASSALLE Gilbert | 73 |
| 13 | BERNAUDEAU Jean-René | 64 |
| 22 | BOURREAU Bernard | 63 |