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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Norsgaard
1
65 kgNorman Leth
2
68 kgMathiesen
6
71 kgDideriksen
8
62 kgBrandt Heisel
10
52 kgSiggaard
14
67 kg
1
65 kgNorman Leth
2
68 kgMathiesen
6
71 kgDideriksen
8
62 kgBrandt Heisel
10
52 kgSiggaard
14
67 kg
Weight (KG) →
Result →
71
52
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Emma | 65 |
| 2 | NORMAN LETH Julie | 68 |
| 6 | MATHIESEN Pernille | 71 |
| 8 | DIDERIKSEN Amalie | 62 |
| 10 | BRANDT HEISEL Maja Winther | 52 |
| 14 | SIGGAARD Christina | 67 |