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 = -0.3 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Wiggins
1
76 kgDe Schrooder
5
61 kgSentjens
10
75 kgGates
19
71 kgSchleck
31
65 kgGiling
36
72 kg
1
76 kgDe Schrooder
5
61 kgSentjens
10
75 kgGates
19
71 kgSchleck
31
65 kgGiling
36
72 kg
Weight (KG) →
Result →
76
61
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIGGINS Bradley | 76 |
| 5 | DE SCHROODER Benny | 61 |
| 10 | SENTJENS Roy | 75 |
| 19 | GATES Nick | 71 |
| 31 | SCHLECK Fränk | 65 |
| 36 | GILING Bas | 72 |