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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vos
1
58 kgGarcía
3
56 kgStephens
4
55 kgBastianelli
6
60 kgSierra
9
57 kgDoebel-Hickok
10
51 kgKoster
11
56 kgAalerud
12
54 kgGuderzo
13
54 kgTserakh
16
70 kgFranz
17
52 kgValsecchi
19
58 kgPoidevin
20
56 kgShapira
21
58 kgMarche
22
58 kgVysotska
23
55 kgKorevaar
25
59 kg
1
58 kgGarcía
3
56 kgStephens
4
55 kgBastianelli
6
60 kgSierra
9
57 kgDoebel-Hickok
10
51 kgKoster
11
56 kgAalerud
12
54 kgGuderzo
13
54 kgTserakh
16
70 kgFranz
17
52 kgValsecchi
19
58 kgPoidevin
20
56 kgShapira
21
58 kgMarche
22
58 kgVysotska
23
55 kgKorevaar
25
59 kg
Weight (KG) →
Result →
70
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 3 | GARCÍA Mavi | 56 |
| 4 | STEPHENS Lauren | 55 |
| 6 | BASTIANELLI Marta | 60 |
| 9 | SIERRA Arlenis | 57 |
| 10 | DOEBEL-HICKOK Krista | 51 |
| 11 | KOSTER Anouska | 56 |
| 12 | AALERUD Katrine | 54 |
| 13 | GUDERZO Tatiana | 54 |
| 16 | TSERAKH Hanna | 70 |
| 17 | FRANZ Heidi | 52 |
| 19 | VALSECCHI Silvia | 58 |
| 20 | POIDEVIN Sara | 56 |
| 21 | SHAPIRA Omer | 58 |
| 22 | MARCHE Shara | 58 |
| 23 | VYSOTSKA Ievgeniia | 55 |
| 25 | KOREVAAR Jeanne | 59 |