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 = 1.3 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Kelly
4
77 kgPrado
9
69 kgNevens
16
58 kgDomínguez
41
67 kgArntz
46
70 kgSolleveld
63
93 kgNavarro
82
77 kg
4
77 kgPrado
9
69 kgNevens
16
58 kgDomínguez
41
67 kgArntz
46
70 kgSolleveld
63
93 kgNavarro
82
77 kg
Weight (KG) →
Result →
93
58
4
82
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 9 | PRADO Vicente | 69 |
| 16 | NEVENS Jan | 58 |
| 41 | DOMÍNGUEZ Manuel Jorge | 67 |
| 46 | ARNTZ Marcel | 70 |
| 63 | SOLLEVELD Gerrit | 93 |
| 82 | NAVARRO Francisco | 77 |