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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Chevallier
3
69 kgDuclos-Lassalle
10
73 kgPeeters
11
76 kgGavazzi
13
67 kg
3
69 kgDuclos-Lassalle
10
73 kgPeeters
11
76 kgGavazzi
13
67 kg
Weight (KG) →
Result →
76
67
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHEVALLIER Philippe | 69 |
| 10 | DUCLOS-LASSALLE Gilbert | 73 |
| 11 | PEETERS Wilfried | 76 |
| 13 | GAVAZZI Pierino | 67 |