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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Madiot
1
68 kgLeMond
2
67 kgInduráin
4
76 kgFignon
5
67 kgRoche
7
74 kgMejia
8
63 kg
1
68 kgLeMond
2
67 kgInduráin
4
76 kgFignon
5
67 kgRoche
7
74 kgMejia
8
63 kg
Weight (KG) →
Result →
76
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 2 | LEMOND Greg | 67 |
| 4 | INDURÁIN Miguel | 76 |
| 5 | FIGNON Laurent | 67 |
| 7 | ROCHE Stephen | 74 |
| 8 | MEJIA Alvaro | 63 |