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 = -0.3 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ayazbayev
1
75 kgSütterlin
2
78 kgBerlato
3
60 kgPolanc
4
62 kgZordan
5
65 kgGarosio
6
58 kgSenni
10
60 kg
1
75 kgSütterlin
2
78 kgBerlato
3
60 kgPolanc
4
62 kgZordan
5
65 kgGarosio
6
58 kgSenni
10
60 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYAZBAYEV Maxat | 75 |
| 2 | SÜTTERLIN Jasha | 78 |
| 3 | BERLATO Giacomo | 60 |
| 4 | POLANC Jan | 62 |
| 5 | ZORDAN Andrea | 65 |
| 6 | GAROSIO Andrea | 58 |
| 10 | SENNI Manuel | 60 |