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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Lagutin
2
68 kgO'Loughlin
5
68 kgPate
6
73 kgPower
8
68 kgRollin
16
83 kgKing
18
78 kgMeier
21
61 kgSulzberger
23
65 kg
2
68 kgO'Loughlin
5
68 kgPate
6
73 kgPower
8
68 kgRollin
16
83 kgKing
18
78 kgMeier
21
61 kgSulzberger
23
65 kg
Weight (KG) →
Result →
83
61
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAGUTIN Sergey | 68 |
| 5 | O'LOUGHLIN David | 68 |
| 6 | PATE Danny | 73 |
| 8 | POWER Ciarán | 68 |
| 16 | ROLLIN Dominique | 83 |
| 18 | KING Edward | 78 |
| 21 | MEIER Christian | 61 |
| 23 | SULZBERGER Wesley | 65 |