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 = 4.5 * weight - 239
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
Meier
3
61 kgRangel
21
63 kgJones
63
64 kgZarate
76
70 kgWohlberg
95
63 kgTuft
103
77 kg
3
61 kgRangel
21
63 kgJones
63
64 kgZarate
76
70 kgWohlberg
95
63 kgTuft
103
77 kg
Weight (KG) →
Result →
77
61
3
103
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MEIER Christian | 61 |
| 21 | RANGEL Hector Hugo | 63 |
| 63 | JONES Chris | 64 |
| 76 | ZARATE Jesús | 70 |
| 95 | WOHLBERG Eric | 63 |
| 103 | TUFT Svein | 77 |