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 + 22
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Bernaudeau
2
64 kgInduráin
6
76 kgMarie
23
68 kgEarley
25
62 kgVilamajo
29
70 kgMujika
39
73 kgFignon
43
67 kg
2
64 kgInduráin
6
76 kgMarie
23
68 kgEarley
25
62 kgVilamajo
29
70 kgMujika
39
73 kgFignon
43
67 kg
Weight (KG) →
Result →
76
62
2
43
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERNAUDEAU Jean-René | 64 |
| 6 | INDURÁIN Miguel | 76 |
| 23 | MARIE Thierry | 68 |
| 25 | EARLEY Martin | 62 |
| 29 | VILAMAJO Jaime | 70 |
| 39 | MUJIKA Jokin | 73 |
| 43 | FIGNON Laurent | 67 |