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 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Špilak
1
68 kgRuijgh
2
64 kgClarke
3
63 kgMasciarelli
5
55 kgGautier
8
65 kgPratte
9
67 kg
1
68 kgRuijgh
2
64 kgClarke
3
63 kgMasciarelli
5
55 kgGautier
8
65 kgPratte
9
67 kg
Weight (KG) →
Result →
68
55
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠPILAK Simon | 68 |
| 2 | RUIJGH Rob | 64 |
| 3 | CLARKE Simon | 63 |
| 5 | MASCIARELLI Francesco | 55 |
| 8 | GAUTIER Cyril | 65 |
| 9 | PRATTE Philippe | 67 |