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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hesjedal
1
73 kgTuft
2
77 kgBell
3
75 kgWohlberg
4
63 kgRollin
6
83 kgParisien
8
64 kgRoth
10
70 kg
1
73 kgTuft
2
77 kgBell
3
75 kgWohlberg
4
63 kgRollin
6
83 kgParisien
8
64 kgRoth
10
70 kg
Weight (KG) →
Result →
83
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HESJEDAL Ryder | 73 |
| 2 | TUFT Svein | 77 |
| 3 | BELL Zach | 75 |
| 4 | WOHLBERG Eric | 63 |
| 6 | ROLLIN Dominique | 83 |
| 8 | PARISIEN François | 64 |
| 10 | ROTH Ryan | 70 |