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 = 20.6 * weight - 937
This means that on average for every extra kilogram weight a rider loses 20.6 positions in the result.
Nevens
1
58 kgKelly
2
77 kgPrado
10
69 kgDomínguez
990
67 kgArntz
990
70 kgSolleveld
990
93 kgNavarro
990
77 kg
1
58 kgKelly
2
77 kgPrado
10
69 kgDomínguez
990
67 kgArntz
990
70 kgSolleveld
990
93 kgNavarro
990
77 kg
Weight (KG) →
Result →
93
58
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEVENS Jan | 58 |
| 2 | KELLY Sean | 77 |
| 10 | PRADO Vicente | 69 |
| 990 | DOMÍNGUEZ Manuel Jorge | 67 |
| 990 | ARNTZ Marcel | 70 |
| 990 | SOLLEVELD Gerrit | 93 |
| 990 | NAVARRO Francisco | 77 |