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 = 0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bernaudeau
8
64 kgDuclos-Lassalle
9
73 kgHoste
16
76 kgEarley
24
62 kgYates
32
74 kgChevallier
36
69 kg
8
64 kgDuclos-Lassalle
9
73 kgHoste
16
76 kgEarley
24
62 kgYates
32
74 kgChevallier
36
69 kg
Weight (KG) →
Result →
76
62
8
36
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BERNAUDEAU Jean-René | 64 |
| 9 | DUCLOS-LASSALLE Gilbert | 73 |
| 16 | HOSTE Frank | 76 |
| 24 | EARLEY Martin | 62 |
| 32 | YATES Sean | 74 |
| 36 | CHEVALLIER Philippe | 69 |