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 = 0.8 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Meier
7
61 kgRangel
15
63 kgContreras
18
64 kgTuft
19
77 kgWohlberg
20
63 kgBell
27
75 kgZarate
28
70 kgRoutley
35
69 kg
7
61 kgRangel
15
63 kgContreras
18
64 kgTuft
19
77 kgWohlberg
20
63 kgBell
27
75 kgZarate
28
70 kgRoutley
35
69 kg
Weight (KG) →
Result →
77
61
7
35
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MEIER Christian | 61 |
| 15 | RANGEL Hector Hugo | 63 |
| 18 | CONTRERAS Mario Wilfredo | 64 |
| 19 | TUFT Svein | 77 |
| 20 | WOHLBERG Eric | 63 |
| 27 | BELL Zach | 75 |
| 28 | ZARATE Jesús | 70 |
| 35 | ROUTLEY Will | 69 |