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 = 0.4 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Meier
2
61 kgTuft
7
77 kgContreras
11
64 kgRangel
23
63 kgWohlberg
25
63 kgZarate
28
70 kgBell
30
75 kgRoutley
32
69 kg
2
61 kgTuft
7
77 kgContreras
11
64 kgRangel
23
63 kgWohlberg
25
63 kgZarate
28
70 kgBell
30
75 kgRoutley
32
69 kg
Weight (KG) →
Result →
77
61
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEIER Christian | 61 |
| 7 | TUFT Svein | 77 |
| 11 | CONTRERAS Mario Wilfredo | 64 |
| 23 | RANGEL Hector Hugo | 63 |
| 25 | WOHLBERG Eric | 63 |
| 28 | ZARATE Jesús | 70 |
| 30 | BELL Zach | 75 |
| 32 | ROUTLEY Will | 69 |