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 = 3.3 * weight - 165
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Rangel
6
63 kgJones
21
64 kgZarate
59
70 kgWohlberg
63
63 kgMeier
73
61 kgTuft
99
77 kg
6
63 kgJones
21
64 kgZarate
59
70 kgWohlberg
63
63 kgMeier
73
61 kgTuft
99
77 kg
Weight (KG) →
Result →
77
61
6
99
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RANGEL Hector Hugo | 63 |
| 21 | JONES Chris | 64 |
| 59 | ZARATE Jesús | 70 |
| 63 | WOHLBERG Eric | 63 |
| 73 | MEIER Christian | 61 |
| 99 | TUFT Svein | 77 |