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 - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
de Rooij
6
69 kgde Vries
10
75 kgJalabert
12
66 kgDurand
16
76 kgHarmeling
17
76 kg
6
69 kgde Vries
10
75 kgJalabert
12
66 kgDurand
16
76 kgHarmeling
17
76 kg
Weight (KG) →
Result →
76
66
6
17
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | DE ROOIJ Theo | 69 |
| 10 | DE VRIES Gerrit | 75 |
| 12 | JALABERT Laurent | 66 |
| 16 | DURAND Jacky | 76 |
| 17 | HARMELING Rob | 76 |