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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Saronni
1
65 kgLeMond
3
67 kgMoser
4
79 kgde Rooij
7
69 kgAlgeri
12
68 kgPrim
14
76 kgSegersall
21
65 kg
1
65 kgLeMond
3
67 kgMoser
4
79 kgde Rooij
7
69 kgAlgeri
12
68 kgPrim
14
76 kgSegersall
21
65 kg
Weight (KG) →
Result →
79
65
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 3 | LEMOND Greg | 67 |
| 4 | MOSER Francesco | 79 |
| 7 | DE ROOIJ Theo | 69 |
| 12 | ALGERI Vittorio | 68 |
| 14 | PRIM Tommy | 76 |
| 21 | SEGERSALL Alf | 65 |