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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Rangel
17
63 kgZarate
18
70 kgWohlberg
20
63 kgJones
28
64 kgMeier
34
61 kgTuft
44
77 kg
17
63 kgZarate
18
70 kgWohlberg
20
63 kgJones
28
64 kgMeier
34
61 kgTuft
44
77 kg
Weight (KG) →
Result →
77
61
17
44
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | RANGEL Hector Hugo | 63 |
| 18 | ZARATE Jesús | 70 |
| 20 | WOHLBERG Eric | 63 |
| 28 | JONES Chris | 64 |
| 34 | MEIER Christian | 61 |
| 44 | TUFT Svein | 77 |