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 = 0.5 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Contreras
3
64 kgMeier
13
61 kgTuft
14
77 kgZarate
25
70 kgWohlberg
26
63 kgRangel
27
63 kgRoutley
30
69 kgBell
35
75 kg
3
64 kgMeier
13
61 kgTuft
14
77 kgZarate
25
70 kgWohlberg
26
63 kgRangel
27
63 kgRoutley
30
69 kgBell
35
75 kg
Weight (KG) →
Result →
77
61
3
35
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CONTRERAS Mario Wilfredo | 64 |
| 13 | MEIER Christian | 61 |
| 14 | TUFT Svein | 77 |
| 25 | ZARATE Jesús | 70 |
| 26 | WOHLBERG Eric | 63 |
| 27 | RANGEL Hector Hugo | 63 |
| 30 | ROUTLEY Will | 69 |
| 35 | BELL Zach | 75 |