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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
LeMond
2
67 kgHeulot
5
69 kgMoncassin
6
73 kgPrado
10
69 kgBrochard
14
68 kg
2
67 kgHeulot
5
69 kgMoncassin
6
73 kgPrado
10
69 kgBrochard
14
68 kg
Weight (KG) →
Result →
73
67
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEMOND Greg | 67 |
| 5 | HEULOT Stéphane | 69 |
| 6 | MONCASSIN Frédéric | 73 |
| 10 | PRADO Vicente | 69 |
| 14 | BROCHARD Laurent | 68 |