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 = -5.3 * weight + 318
This means that on average for every extra kilogram weight a rider loses -5.3 positions in the result.
Moberg
1
56 kgMustonen
2
58 kgNovolodskaia
4
57 kgEklund
6
58 kgPenton
26
55 kgHoogeboom
33
52 kgOlsen
70
56 kg
1
56 kgMustonen
2
58 kgNovolodskaia
4
57 kgEklund
6
58 kgPenton
26
55 kgHoogeboom
33
52 kgOlsen
70
56 kg
Weight (KG) →
Result →
58
52
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOBERG Emilie | 56 |
| 2 | MUSTONEN Sara | 58 |
| 4 | NOVOLODSKAIA Maria | 57 |
| 6 | EKLUND Nathalie | 58 |
| 26 | PENTON Sara | 55 |
| 33 | HOOGEBOOM Roos | 52 |
| 70 | OLSEN Elise Marie | 56 |