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 - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Folco
1
68 kgValetti
5
74 kgStettler
20
81 kgEgli
25
72 kgSaladin
27
72 kgMartin
29
69 kg
1
68 kgValetti
5
74 kgStettler
20
81 kgEgli
25
72 kgSaladin
27
72 kgMartin
29
69 kg
Weight (KG) →
Result →
81
68
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOLCO Antonio | 68 |
| 5 | VALETTI Giovanni | 74 |
| 20 | STETTLER Kurt | 81 |
| 25 | EGLI Paul | 72 |
| 27 | SALADIN Fritz | 72 |
| 29 | MARTIN Hans | 69 |