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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
van der Hoorn
1
73 kgKennett
2
75 kgHindley
8
60 kgDunbar
9
57 kgDunne
12
88 kgEdmondson
13
62 kgVereecken
15
72 kg
1
73 kgKennett
2
75 kgHindley
8
60 kgDunbar
9
57 kgDunne
12
88 kgEdmondson
13
62 kgVereecken
15
72 kg
Weight (KG) →
Result →
88
57
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER HOORN Taco | 73 |
| 2 | KENNETT Dylan | 75 |
| 8 | HINDLEY Jai | 60 |
| 9 | DUNBAR Eddie | 57 |
| 12 | DUNNE Conor | 88 |
| 13 | EDMONDSON Joshua | 62 |
| 15 | VEREECKEN Nicolas | 72 |