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 = -4.6 * weight + 272
This means that on average for every extra kilogram weight a rider loses -4.6 positions in the result.
Mustonen
3
58 kgMoberg
4
56 kgPenton
8
55 kgEklund
12
58 kgNovolodskaia
14
57 kgHoogeboom
39
52 kg
3
58 kgMoberg
4
56 kgPenton
8
55 kgEklund
12
58 kgNovolodskaia
14
57 kgHoogeboom
39
52 kg
Weight (KG) →
Result →
58
52
3
39
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MUSTONEN Sara | 58 |
| 4 | MOBERG Emilie | 56 |
| 8 | PENTON Sara | 55 |
| 12 | EKLUND Nathalie | 58 |
| 14 | NOVOLODSKAIA Maria | 57 |
| 39 | HOOGEBOOM Roos | 52 |