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 - 51
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Grabsch
1
78 kgSchumacher
2
71 kgMartin
3
75 kgLang
4
77 kgVoigt
6
76 kgRoels
7
75 kgBartko
9
78 kgBengsch
13
85 kg
1
78 kgSchumacher
2
71 kgMartin
3
75 kgLang
4
77 kgVoigt
6
76 kgRoels
7
75 kgBartko
9
78 kgBengsch
13
85 kg
Weight (KG) →
Result →
85
71
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRABSCH Bert | 78 |
| 2 | SCHUMACHER Stefan | 71 |
| 3 | MARTIN Tony | 75 |
| 4 | LANG Sebastian | 77 |
| 6 | VOIGT Jens | 76 |
| 7 | ROELS Dominik | 75 |
| 9 | BARTKO Robert | 78 |
| 13 | BENGSCH Robert | 85 |