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 = -7.5 * weight + 1077
This means that on average for every extra kilogram weight a rider loses -7.5 positions in the result.
Gianetti
11
62 kgRichard
15
67 kgSergeant
17
76 kgRoche
990
74 kgNevens
990
58 kgZoetemelk
990
68 kgChevallier
990
69 kg
11
62 kgRichard
15
67 kgSergeant
17
76 kgRoche
990
74 kgNevens
990
58 kgZoetemelk
990
68 kgChevallier
990
69 kg
Weight (KG) →
Result →
76
58
11
990
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | GIANETTI Mauro | 62 |
| 15 | RICHARD Pascal | 67 |
| 17 | SERGEANT Marc | 76 |
| 990 | ROCHE Stephen | 74 |
| 990 | NEVENS Jan | 58 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | CHEVALLIER Philippe | 69 |