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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ratto
1
74 kgAdams
3
63 kgUlissi
4
63 kgEijssen
6
60 kgGuldhammer
7
66 kgSummerhill
14
70 kgBoivin
17
78 kg
1
74 kgAdams
3
63 kgUlissi
4
63 kgEijssen
6
60 kgGuldhammer
7
66 kgSummerhill
14
70 kgBoivin
17
78 kg
Weight (KG) →
Result →
78
60
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATTO Daniele | 74 |
| 3 | ADAMS Joeri | 63 |
| 4 | ULISSI Diego | 63 |
| 6 | EIJSSEN Yannick | 60 |
| 7 | GULDHAMMER Rasmus | 66 |
| 14 | SUMMERHILL Daniel | 70 |
| 17 | BOIVIN Guillaume | 78 |