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 = -3.4 * weight + 204
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
Mustonen
1
58 kgNovolodskaia
4
57 kgMoberg
11
56 kgPenton
15
55 kgEklund
16
58 kgHoogeboom
28
52 kg
1
58 kgNovolodskaia
4
57 kgMoberg
11
56 kgPenton
15
55 kgEklund
16
58 kgHoogeboom
28
52 kg
Weight (KG) →
Result →
58
52
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSTONEN Sara | 58 |
| 4 | NOVOLODSKAIA Maria | 57 |
| 11 | MOBERG Emilie | 56 |
| 15 | PENTON Sara | 55 |
| 16 | EKLUND Nathalie | 58 |
| 28 | HOOGEBOOM Roos | 52 |