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 = 1.1 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Naibo
2
62 kgMarino
4
65 kgGérard
8
70 kgClaude
11
69 kgMonnerais
12
70 kgPoulhiès
16
75 kgJeandesboz
18
69 kg
2
62 kgMarino
4
65 kgGérard
8
70 kgClaude
11
69 kgMonnerais
12
70 kgPoulhiès
16
75 kgJeandesboz
18
69 kg
Weight (KG) →
Result →
75
62
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NAIBO Carl | 62 |
| 4 | MARINO Jean-Marc | 65 |
| 8 | GÉRARD Arnaud | 70 |
| 11 | CLAUDE Mathieu | 69 |
| 12 | MONNERAIS Cyrille | 70 |
| 16 | POULHIÈS Stéphane | 75 |
| 18 | JEANDESBOZ Fabrice | 69 |