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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Dion
1
65 kgSoutham
7
69 kgGerrans
8
62 kgLequatre
9
64 kgNaulleau
13
72 kgPlouhinec
15
63 kgGiling
19
72 kg
1
65 kgSoutham
7
69 kgGerrans
8
62 kgLequatre
9
64 kgNaulleau
13
72 kgPlouhinec
15
63 kgGiling
19
72 kg
Weight (KG) →
Result →
72
62
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DION Renaud | 65 |
| 7 | SOUTHAM Tom | 69 |
| 8 | GERRANS Simon | 62 |
| 9 | LEQUATRE Geoffroy | 64 |
| 13 | NAULLEAU Alexandre | 72 |
| 15 | PLOUHINEC Samuel | 63 |
| 19 | GILING Bas | 72 |