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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Norsgaard
2
65 kgDideriksen
3
62 kgMaribo
4
60 kgBrandt Heisel
8
52 kgNorman Leth
10
68 kgLorenzen
16
71 kg
2
65 kgDideriksen
3
62 kgMaribo
4
60 kgBrandt Heisel
8
52 kgNorman Leth
10
68 kgLorenzen
16
71 kg
Weight (KG) →
Result →
71
52
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NORSGAARD Emma | 65 |
| 3 | DIDERIKSEN Amalie | 62 |
| 4 | MARIBO Julie Emilie | 60 |
| 8 | BRANDT HEISEL Maja Winther | 52 |
| 10 | NORMAN LETH Julie | 68 |
| 16 | LORENZEN Christina Bragh | 71 |