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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Lequatre
5
64 kgDion
9
65 kgNaulleau
15
72 kgGadret
16
58 kgGiling
17
72 kgSprick
18
71 kgDuret
25
62 kgSoutham
27
69 kg
5
64 kgDion
9
65 kgNaulleau
15
72 kgGadret
16
58 kgGiling
17
72 kgSprick
18
71 kgDuret
25
62 kgSoutham
27
69 kg
Weight (KG) →
Result →
72
58
5
27
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LEQUATRE Geoffroy | 64 |
| 9 | DION Renaud | 65 |
| 15 | NAULLEAU Alexandre | 72 |
| 16 | GADRET John | 58 |
| 17 | GILING Bas | 72 |
| 18 | SPRICK Matthieu | 71 |
| 25 | DURET Sébastien | 62 |
| 27 | SOUTHAM Tom | 69 |