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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rollin
1
83 kgTuft
2
77 kgWohlberg
4
63 kgVeilleux
5
75 kgMeier
6
61 kgRoth
7
70 kgGilbert
11
73 kg
1
83 kgTuft
2
77 kgWohlberg
4
63 kgVeilleux
5
75 kgMeier
6
61 kgRoth
7
70 kgGilbert
11
73 kg
Weight (KG) →
Result →
83
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLIN Dominique | 83 |
| 2 | TUFT Svein | 77 |
| 4 | WOHLBERG Eric | 63 |
| 5 | VEILLEUX David | 75 |
| 6 | MEIER Christian | 61 |
| 7 | ROTH Ryan | 70 |
| 11 | GILBERT Martin | 73 |