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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Nerz
1
67 kgGuldhammer
4
66 kgBrändle
6
80 kgSagan
10
78 kgDegenkolb
18
82 kgJanse van Rensburg
23
74 kg
1
67 kgGuldhammer
4
66 kgBrändle
6
80 kgSagan
10
78 kgDegenkolb
18
82 kgJanse van Rensburg
23
74 kg
Weight (KG) →
Result →
82
66
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NERZ Dominik | 67 |
| 4 | GULDHAMMER Rasmus | 66 |
| 6 | BRÄNDLE Matthias | 80 |
| 10 | SAGAN Peter | 78 |
| 18 | DEGENKOLB John | 82 |
| 23 | JANSE VAN RENSBURG Reinardt | 74 |