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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Armstrong
1
72 kgMagnusson
2
70 kgElliott
3
76 kgBaffi
5
70 kgvan Bon
6
72 kgRobin
7
63 kgRominger
9
65 kg
1
72 kgMagnusson
2
70 kgElliott
3
76 kgBaffi
5
70 kgvan Bon
6
72 kgRobin
7
63 kgRominger
9
65 kg
Weight (KG) →
Result →
76
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Lance | 72 |
| 2 | MAGNUSSON Glenn | 70 |
| 3 | ELLIOTT Malcolm | 76 |
| 5 | BAFFI Adriano | 70 |
| 6 | VAN BON Léon | 72 |
| 7 | ROBIN Jean-Cyril | 63 |
| 9 | ROMINGER Tony | 65 |