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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Schrettl
1
63 kgHajek
2
55 kgKerschbaumer
5
68 kgHalbmayer
6
71 kgPutz
7
62 kgStieger
10
68 kg
1
63 kgHajek
2
55 kgKerschbaumer
5
68 kgHalbmayer
6
71 kgPutz
7
62 kgStieger
10
68 kg
Weight (KG) →
Result →
71
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHRETTL Marco | 63 |
| 2 | HAJEK Alexander | 55 |
| 5 | KERSCHBAUMER Leo | 68 |
| 6 | HALBMAYER Emilio | 71 |
| 7 | PUTZ Sebastian | 62 |
| 10 | STIEGER Adrian | 68 |