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 = 9.3 * weight - 68
This means that on average for every extra kilogram weight a rider loses 9.3 positions in the result.
Hinault
4
62 kgKelly
5
77 kgSaronni
8
65 kgDidier
990
67 kgPoulidor
990
71 kgZoetemelk
990
68 kgBittinger
990
69 kg
4
62 kgKelly
5
77 kgSaronni
8
65 kgDidier
990
67 kgPoulidor
990
71 kgZoetemelk
990
68 kgBittinger
990
69 kg
Weight (KG) →
Result →
77
62
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HINAULT Bernard | 62 |
| 5 | KELLY Sean | 77 |
| 8 | SARONNI Giuseppe | 65 |
| 990 | DIDIER Lucien | 67 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | BITTINGER René | 69 |