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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Tanner
3
70 kgNaulleau
5
72 kgMortensen
6
70 kgReihs
7
75 kgGaudin
9
85 kgKrivtsov
10
72 kg
3
70 kgNaulleau
5
72 kgMortensen
6
70 kgReihs
7
75 kgGaudin
9
85 kgKrivtsov
10
72 kg
Weight (KG) →
Result →
85
70
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TANNER David | 70 |
| 5 | NAULLEAU Alexandre | 72 |
| 6 | MORTENSEN Martin | 70 |
| 7 | REIHS Michael | 75 |
| 9 | GAUDIN Damien | 85 |
| 10 | KRIVTSOV Dmytro | 72 |