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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kelly
2
77 kgElliott
3
76 kgvan der Poel
9
70 kgGayant
10
69 kgEarley
12
62 kgRoche
22
74 kg
2
77 kgElliott
3
76 kgvan der Poel
9
70 kgGayant
10
69 kgEarley
12
62 kgRoche
22
74 kg
Weight (KG) →
Result →
77
62
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | ELLIOTT Malcolm | 76 |
| 9 | VAN DER POEL Adrie | 70 |
| 10 | GAYANT Martial | 69 |
| 12 | EARLEY Martin | 62 |
| 22 | ROCHE Stephen | 74 |