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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Fabbro
1
52 kgPower
3
68 kgRochas
4
51 kgFedeli
5
65 kgBonnamour
6
70 kgCherkasov
7
68 kgLizde
8
70 kg
1
52 kgPower
3
68 kgRochas
4
51 kgFedeli
5
65 kgBonnamour
6
70 kgCherkasov
7
68 kgLizde
8
70 kg
Weight (KG) →
Result →
70
51
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FABBRO Matteo | 52 |
| 3 | POWER Robert | 68 |
| 4 | ROCHAS Rémy | 51 |
| 5 | FEDELI Alessandro | 65 |
| 6 | BONNAMOUR Franck | 70 |
| 7 | CHERKASOV Nikolay | 68 |
| 8 | LIZDE Seid | 70 |