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 = -2.9 * weight + 209
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Lach
1
59 kgSchweinberger
6
63 kgZanardi
7
56 kgDronova-Balabolina
8
63 kgManeephan
11
59 kgTserakh
12
70 kgTacey
13
62 kgColes-Lyster
15
61 kgDocx
18
52 kgBeuling
22
65 kgPikulik
24
54 kgNerlo
35
65 kgGreenwood
42
60 kgTeruel
43
56 kgPirrone
51
63 kgPintar
55
56 kgSomrat
58
56 kgNontasin
71
58 kgJaskulska
73
52 kgMalcotti
90
52 kgNuntana
95
55 kg
1
59 kgSchweinberger
6
63 kgZanardi
7
56 kgDronova-Balabolina
8
63 kgManeephan
11
59 kgTserakh
12
70 kgTacey
13
62 kgColes-Lyster
15
61 kgDocx
18
52 kgBeuling
22
65 kgPikulik
24
54 kgNerlo
35
65 kgGreenwood
42
60 kgTeruel
43
56 kgPirrone
51
63 kgPintar
55
56 kgSomrat
58
56 kgNontasin
71
58 kgJaskulska
73
52 kgMalcotti
90
52 kgNuntana
95
55 kg
Weight (KG) →
Result →
70
52
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LACH Marta | 59 |
| 6 | SCHWEINBERGER Kathrin | 63 |
| 7 | ZANARDI Silvia | 56 |
| 8 | DRONOVA-BALABOLINA Tamara | 63 |
| 11 | MANEEPHAN Jutatip | 59 |
| 12 | TSERAKH Hanna | 70 |
| 13 | TACEY April | 62 |
| 15 | COLES-LYSTER Maggie | 61 |
| 18 | DOCX Mieke | 52 |
| 22 | BEULING Femke | 65 |
| 24 | PIKULIK Daria | 54 |
| 35 | NERLO Aurela | 65 |
| 42 | GREENWOOD Monica | 60 |
| 43 | TERUEL Alba | 56 |
| 51 | PIRRONE Elena | 63 |
| 55 | PINTAR Urška | 56 |
| 58 | SOMRAT Phetdarin | 56 |
| 71 | NONTASIN Chanpeng | 58 |
| 73 | JASKULSKA Marta | 52 |
| 90 | MALCOTTI Barbara | 52 |
| 95 | NUNTANA Supaksorn | 55 |