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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ratto
1
74 kgNavardauskas
3
79 kgGuldhammer
4
66 kgSaggiorato
8
58 kgHardy
10
62 kg
1
74 kgNavardauskas
3
79 kgGuldhammer
4
66 kgSaggiorato
8
58 kgHardy
10
62 kg
Weight (KG) →
Result →
79
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATTO Daniele | 74 |
| 3 | NAVARDAUSKAS Ramūnas | 79 |
| 4 | GULDHAMMER Rasmus | 66 |
| 8 | SAGGIORATO Mirco | 58 |
| 10 | HARDY Romain | 62 |