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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Induráin
1
76 kgRominger
2
65 kgBoardman
3
70 kgJalabert
4
66 kgBrochard
5
68 kgRiis
6
71 kgMauri
9
68 kgMoreau
10
71 kg
1
76 kgRominger
2
65 kgBoardman
3
70 kgJalabert
4
66 kgBrochard
5
68 kgRiis
6
71 kgMauri
9
68 kgMoreau
10
71 kg
Weight (KG) →
Result →
76
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | INDURÁIN Miguel | 76 |
| 2 | ROMINGER Tony | 65 |
| 3 | BOARDMAN Chris | 70 |
| 4 | JALABERT Laurent | 66 |
| 5 | BROCHARD Laurent | 68 |
| 6 | RIIS Bjarne | 71 |
| 9 | MAURI Melchor | 68 |
| 10 | MOREAU Christophe | 71 |