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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kelly
1
77 kgLeMond
4
67 kgSchepers
11
60 kgEarley
15
62 kgBreukink
17
70 kgWinnen
21
60 kgDuclos-Lassalle
24
73 kg
1
77 kgLeMond
4
67 kgSchepers
11
60 kgEarley
15
62 kgBreukink
17
70 kgWinnen
21
60 kgDuclos-Lassalle
24
73 kg
Weight (KG) →
Result →
77
60
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | LEMOND Greg | 67 |
| 11 | SCHEPERS Eddy | 60 |
| 15 | EARLEY Martin | 62 |
| 17 | BREUKINK Erik | 70 |
| 21 | WINNEN Peter | 60 |
| 24 | DUCLOS-LASSALLE Gilbert | 73 |