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 = 2.8 * weight - 159
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Bennett
3
58 kgMatombé
14
63 kgBrinkman
22
65 kgGreen
28
70 kgSoula
43
68 kg
3
58 kgMatombé
14
63 kgBrinkman
22
65 kgGreen
28
70 kgSoula
43
68 kg
Weight (KG) →
Result →
70
58
3
43
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BENNETT Stéfan | 58 |
| 14 | MATOMBÉ Hanson | 63 |
| 22 | BRINKMAN David | 65 |
| 28 | GREEN Siméon | 70 |
| 43 | SOULA Guillaume | 68 |