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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rubiano
1
58 kgContador
2
61 kgLeipheimer
2
62 kgDiaz
3
61 kgDomagalski
7
77 kgSchumacher
8
71 kgSerpa
9
64 kg
1
58 kgContador
2
61 kgLeipheimer
2
62 kgDiaz
3
61 kgDomagalski
7
77 kgSchumacher
8
71 kgSerpa
9
64 kg
Weight (KG) →
Result →
77
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIANO Miguel Angel | 58 |
| 2 | CONTADOR Alberto | 61 |
| 2 | LEIPHEIMER Levi | 62 |
| 3 | DIAZ Daniel | 61 |
| 7 | DOMAGALSKI Karol | 77 |
| 8 | SCHUMACHER Stefan | 71 |
| 9 | SERPA José Rodolfo | 64 |