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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Van Steenbergen
2
83 kgCoppi
4
72 kgBobet
7
74 kgBartali
10
69 kgBevilacqua
26
80 kg
2
83 kgCoppi
4
72 kgBobet
7
74 kgBartali
10
69 kgBevilacqua
26
80 kg
Weight (KG) →
Result →
83
69
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN STEENBERGEN Rik | 83 |
| 4 | COPPI Fausto | 72 |
| 7 | BOBET Louison | 74 |
| 10 | BARTALI Gino | 69 |
| 26 | BEVILACQUA Antonio | 80 |