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 = 5.9 * weight - 347
This means that on average for every extra kilogram weight a rider loses 5.9 positions in the result.
Rangel
1
63 kgWohlberg
4
63 kgZarate
13
70 kgMeier
28
61 kgJones
78
64 kgTuft
129
77 kg
1
63 kgWohlberg
4
63 kgZarate
13
70 kgMeier
28
61 kgJones
78
64 kgTuft
129
77 kg
Weight (KG) →
Result →
77
61
1
129
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RANGEL Hector Hugo | 63 |
| 4 | WOHLBERG Eric | 63 |
| 13 | ZARATE Jesús | 70 |
| 28 | MEIER Christian | 61 |
| 78 | JONES Chris | 64 |
| 129 | TUFT Svein | 77 |