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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Holmes
1
64 kgSchoofs
2
68 kgBarry
9
77 kgFisher
11
77 kgZahálka
12
69 kgScheldeman
14
66 kgVan Kerckhove
15
70 kg
1
64 kgSchoofs
2
68 kgBarry
9
77 kgFisher
11
77 kgZahálka
12
69 kgScheldeman
14
66 kgVan Kerckhove
15
70 kg
Weight (KG) →
Result →
77
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLMES Wil | 64 |
| 2 | SCHOOFS Jasper | 68 |
| 9 | BARRY Ashlin | 77 |
| 11 | FISHER Sam | 77 |
| 12 | ZAHÁLKA Štěpán | 69 |
| 14 | SCHELDEMAN Xander | 66 |
| 15 | VAN KERCKHOVE Matisse | 70 |