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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Van Looy
3
73 kgVan Steenbergen
10
83 kgOckers
11
61 kgJanssens
11
68 kgDerycke
11
70 kgSchulte
36
85 kg
3
73 kgVan Steenbergen
10
83 kgOckers
11
61 kgJanssens
11
68 kgDerycke
11
70 kgSchulte
36
85 kg
Weight (KG) →
Result →
85
61
3
36
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN LOOY Rik | 73 |
| 10 | VAN STEENBERGEN Rik | 83 |
| 11 | OCKERS Stan | 61 |
| 11 | JANSSENS Marcel | 68 |
| 11 | DERYCKE Germain | 70 |
| 36 | SCHULTE Gerrit | 85 |