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 = -0.2 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Chevallier
18
69 kgIlegems
35
74 kgBernaudeau
37
64 kgMadiot
45
68 kgEarley
48
62 kgDemol
58
72 kg
18
69 kgIlegems
35
74 kgBernaudeau
37
64 kgMadiot
45
68 kgEarley
48
62 kgDemol
58
72 kg
Weight (KG) →
Result →
74
62
18
58
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | CHEVALLIER Philippe | 69 |
| 35 | ILEGEMS Roger | 74 |
| 37 | BERNAUDEAU Jean-René | 64 |
| 45 | MADIOT Marc | 68 |
| 48 | EARLEY Martin | 62 |
| 58 | DEMOL Dirk | 72 |