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 + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rougier-Lagane
10
69 kgBennett
18
58 kgSoula
37
68 kgGreen
38
70 kgBrinkman
41
65 kgMatombé
43
63 kg
10
69 kgBennett
18
58 kgSoula
37
68 kgGreen
38
70 kgBrinkman
41
65 kgMatombé
43
63 kg
Weight (KG) →
Result →
70
58
10
43
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | ROUGIER-LAGANE Christopher | 69 |
| 18 | BENNETT Stéfan | 58 |
| 37 | SOULA Guillaume | 68 |
| 38 | GREEN Siméon | 70 |
| 41 | BRINKMAN David | 65 |
| 43 | MATOMBÉ Hanson | 63 |