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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
McEwen
1
67 kgD'Hollander
4
74 kgTotschnig
6
62 kgMoerenhout
8
74 kgPalumbo
9
61 kg
1
67 kgD'Hollander
4
74 kgTotschnig
6
62 kgMoerenhout
8
74 kgPalumbo
9
61 kg
Weight (KG) →
Result →
74
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 4 | D'HOLLANDER Glenn | 74 |
| 6 | TOTSCHNIG Georg | 62 |
| 8 | MOERENHOUT Koos | 74 |
| 9 | PALUMBO Giuseppe | 61 |