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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Glaus
1
67 kgMujika
10
73 kgBernaudeau
12
64 kgInduráin
19
76 kgPieters
20
82 kg
1
67 kgMujika
10
73 kgBernaudeau
12
64 kgInduráin
19
76 kgPieters
20
82 kg
Weight (KG) →
Result →
82
64
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLAUS Gilbert | 67 |
| 10 | MUJIKA Jokin | 73 |
| 12 | BERNAUDEAU Jean-René | 64 |
| 19 | INDURÁIN Miguel | 76 |
| 20 | PIETERS Peter | 82 |