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 = 2.9 * weight - 149
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Wohlberg
1
63 kgRangel
3
63 kgMeier
43
61 kgZarate
45
70 kgTuft
73
77 kgJones
76
64 kg
1
63 kgRangel
3
63 kgMeier
43
61 kgZarate
45
70 kgTuft
73
77 kgJones
76
64 kg
Weight (KG) →
Result →
77
61
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOHLBERG Eric | 63 |
| 3 | RANGEL Hector Hugo | 63 |
| 43 | MEIER Christian | 61 |
| 45 | ZARATE Jesús | 70 |
| 73 | TUFT Svein | 77 |
| 76 | JONES Chris | 64 |