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 - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Meier
3
61 kgContreras
10
64 kgTuft
11
77 kgRangel
17
63 kgWohlberg
24
63 kgZarate
29
70 kgBell
34
75 kgRoutley
38
69 kg
3
61 kgContreras
10
64 kgTuft
11
77 kgRangel
17
63 kgWohlberg
24
63 kgZarate
29
70 kgBell
34
75 kgRoutley
38
69 kg
Weight (KG) →
Result →
77
61
3
38
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MEIER Christian | 61 |
| 10 | CONTRERAS Mario Wilfredo | 64 |
| 11 | TUFT Svein | 77 |
| 17 | RANGEL Hector Hugo | 63 |
| 24 | WOHLBERG Eric | 63 |
| 29 | ZARATE Jesús | 70 |
| 34 | BELL Zach | 75 |
| 38 | ROUTLEY Will | 69 |