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 = -1.1 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Watson
1
72 kgBenoot
7
72 kgThevenot
12
69 kgEyskens
13
68 kgVenturini
18
60 kg
1
72 kgBenoot
7
72 kgThevenot
12
69 kgEyskens
13
68 kgVenturini
18
60 kg
Weight (KG) →
Result →
72
60
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WATSON Calvin | 72 |
| 7 | BENOOT Tiesj | 72 |
| 12 | THEVENOT Guillaume | 69 |
| 13 | EYSKENS Jeroen | 68 |
| 18 | VENTURINI Clément | 60 |