Regression Tables

By Candidate

Regression Output for Badenoch

r1
Badenoch
standard
r1
Badenoch
stepwise
r2
Badenoch
standard
r2
Badenoch
stepwise
r3
Badenoch
standard
r3
Badenoch
stepwise
r4
Badenoch
standard
r4
Badenoch
stepwise
r5
Badenoch
standard
r5
Badenoch
stepwise
(Intercept)-7.2-3.4***-5.4-4.4***-3.9-6.5***-3.7-7.0***1.9-2.3***
(0.3)(<0.1)(0.4)(<0.1)(0.6)(<0.1)(0.6)(<0.1)(0.7)(<0.1)
female0.10.20.40.30.3
(0.8)(0.8)(0.6)(0.7)(0.7)
ethnic1.21.6*1.01.5+1.8*1.9*2.4**1.5+1.4*
(0.1)(<0.1)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
lgbt-0.7-1.3-1.0-0.9-1.1
(0.7)(0.4)(0.5)(0.5)(0.4)
elected0.6+0.8*0.30.8*0.6*0.7*0.7*-0.1
(<0.1)(<0.1)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.7)
opp_mp1.7+1.7*1.9*1.8**1.3+0.81.3+1.11.8**1.8**
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.2)(<0.1)(0.1)(<0.1)(<0.1)
mplr0.00.00.00.0-0.1
(0.9)(0.8)(0.6)(0.6)(0.4)
1st_Truss1.62.1*0.92.5*2.4*2.7*2.9*0.7
(0.1)(<0.1)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)(0.4)
1st_Sunak0.30.61.52.4*1.72.5*0.0
(0.8)(0.6)(0.2)(<0.1)(0.1)(<0.1)(1.0)
1st_Badenoch1.52.9**1.22.2*1.52.7*1.52.5+0.91.3
(0.2)(<0.1)(0.4)(<0.1)(0.2)(<0.1)(0.3)(<0.1)(0.4)(0.2)
1st_Mordaunt-1.0-1.6-0.2-0.5-0.2
(0.5)(0.3)(0.9)(0.7)(0.8)
1st_Tugendhat0.90.70.30.20.7
(0.5)(0.6)(0.8)(0.9)(0.6)
1st_Braverman-2.2-2.9-2.5-2.4-2.8-3.2+-3.3+-3.9*-1.8-1.2
(0.2)(0.1)(0.2)(0.2)(0.1)(<0.1)(<0.1)(<0.1)(0.2)(0.3)
2nd_Sunak0.71.01.00.80.5
(0.4)(0.2)(0.2)(0.3)(0.4)
2nd_Mordaunt1.52.00.60.70.9
(0.4)(0.3)(0.7)(0.7)(0.5)
2nd_Johnson-3.2+-2.5-4.2*-2.9-4.1*-4.4*-4.6*-5.4*-4.4*-2.7+
(<0.1)(0.2)(<0.1)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_onc0.30.30.30.2-0.4
(0.7)(0.6)(0.6)(0.8)(0.5)
grp_csg1.31.41.31.20.6
(0.4)(0.4)(0.4)(0.5)(0.7)
grp_erg1.11.7+1.7+1.5+1.9+2.0*1.5
(0.3)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.1)
grp_fm-1.0-1.4-1.4-1.4-1.6-1.6-1.0
(0.4)(0.2)(0.2)(0.2)(0.2)(0.1)(0.3)
grp_lvl_up0.1-0.1-0.10.1-0.4
(0.9)(0.9)(0.9)(0.9)(0.6)
grp_cen-0.4-0.8-1.0-1.1-0.70.1
(0.7)(0.4)(0.2)(0.2)(0.4)(0.9)
grp_crg-0.3-0.60.30.7-0.8
(0.8)(0.6)(0.8)(0.5)(0.4)
has_greenbelt-0.4-0.4-0.4-0.4-0.5
(0.6)(0.5)(0.6)(0.5)(0.4)
Num.Obs.120120120120120120120120120120
AIC108.276.9115.892.5120.597.6118.195.5144.2117.3
BIC175.193.6182.7112.0187.4128.3185.0128.9211.1134.1
Log.Lik.-30.120-32.434-33.893-39.246-36.266-37.821-35.069-35.730-48.086-52.669
RMSE0.260.280.290.320.300.310.300.300.360.38
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Jenrick

r1
Jenrick
standard
r1
Jenrick
stepwise
r2
Jenrick
standard
r2
Jenrick
stepwise
r3
Jenrick
standard
r3
Jenrick
stepwise
r4
Jenrick
standard
r4
Jenrick
stepwise
r5
Jenrick
standard
r5
Jenrick
stepwise
(Intercept)-10.7+-15.2*-7.6-4.0**-7.7-1.3**-7.8-1.1**-9.0-3.6**
(<0.1)(<0.1)(0.2)(<0.1)(0.2)(<0.1)(0.2)(<0.1)(0.1)(<0.1)
female-1.2-1.3-0.4-0.1-0.2-0.2
(0.2)(0.2)(0.6)(0.9)(0.7)(0.8)
ethnic-1.2-2.3-1.4-1.7-1.4-1.3-1.6-1.3-1.1
(0.3)(0.1)(0.3)(0.2)(0.2)(0.3)(0.2)(0.3)(0.3)
lgbt-0.1-0.3-0.3-0.5-0.6
(1.0)(0.9)(0.9)(0.8)(0.7)
elected0.30.6*0.30.5*0.20.20.40.4*
(0.3)(<0.1)(0.3)(<0.1)(0.5)(0.4)(0.1)(<0.1)
opp_mp-0.6-0.8-1.0-0.9-1.1-1.0+-1.4+-1.3*
(0.5)(0.3)(0.2)(0.1)(0.2)(<0.1)(<0.1)(<0.1)
mplr0.10.1+0.10.10.10.1
(0.2)(<0.1)(0.3)(0.3)(0.3)(0.3)
1st_Truss-0.3-0.4-0.1-0.10.3
(0.8)(0.7)(0.9)(0.9)(0.7)
1st_Sunak-0.10.10.40.40.6
(1.0)(0.9)(0.7)(0.7)(0.6)
1st_Badenoch2.3+2.4*2.2+2.4*2.1*2.4*2.1*2.0+2.1*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
1st_Mordaunt-1.9-1.30.20.30.20.0
(0.3)(0.2)(0.8)(0.8)(0.9)(1.0)
1st_Tugendhat-2.0-1.8-2.5-2.7-2.4-2.5-2.4-2.5-2.3-2.1
(0.3)(0.3)(0.2)(0.2)(0.2)(0.2)(0.2)(0.2)(0.2)(0.2)
1st_Braverman-0.50.10.70.61.52.2*
(0.7)(0.9)(0.6)(0.6)(0.2)(<0.1)
2nd_Sunak-0.8-1.6-1.3-0.7-1.4-0.7-0.8
(0.4)(0.1)(0.2)(0.3)(0.1)(0.3)(0.4)
2nd_Mordaunt0.9-1.9-1.6-1.6-1.0
(0.7)(0.3)(0.3)(0.3)(0.6)
2nd_Johnson3.6**4.2**3.9**4.1**3.4*3.4**3.4*3.3**3.2*3.3**
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_onc1.9+1.7+1.9+0.91.40.81.5+0.71.8*1.6*
(<0.1)(<0.1)(<0.1)(0.2)(0.1)(0.2)(<0.1)(0.3)(<0.1)(<0.1)
grp_csg1.21.13.0*1.02.1+0.92.01.0
(0.3)(0.4)(<0.1)(0.4)(<0.1)(0.5)(0.1)(0.4)
grp_erg-0.8-1.8-1.1-1.7-1.7+-1.5-1.7+-1.2
(0.4)(0.1)(0.3)(0.1)(<0.1)(0.2)(<0.1)(0.3)
grp_fm-2.1-2.8+-3.2*-5.3*-3.1*-3.9*-3.1*-3.8*-3.4*-3.2*
(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_lvl_up0.40.30.10.00.1
(0.6)(0.6)(0.9)(1.0)(0.8)
grp_cen1.21.11.01.00.90.6
(0.2)(0.2)(0.3)(0.2)(0.3)(0.5)
grp_crg2.8*2.3*2.8*2.7**2.7*3.0**2.8*2.9**2.7*2.6**
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
has_greenbelt-1.0-1.2+-0.4-0.1-0.3-0.2
(0.1)(<0.1)(0.5)(0.8)(0.6)(0.7)
Num.Obs.120120120120120120120120120120
AIC103.086.0119.597.0124.3104.0125.6106.6129.5108.9
BIC169.9125.1186.4124.9191.2137.5192.5140.1196.4136.8
Log.Lik.-27.479-29.020-35.746-38.502-38.152-40.021-38.797-41.306-40.763-44.441
RMSE0.250.270.300.320.310.320.320.330.330.34
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Cleverly

r1
Cleverly
standard
r1
Cleverly
stepwise
r2
Cleverly
standard
r2
Cleverly
stepwise
r3
Cleverly
standard
r3
Cleverly
stepwise
r4
Cleverly
standard
r4
Cleverly
stepwise
(Intercept)-2.7-2.2***-6.1-1.5***-1.2-1.4***0.3-1.3***
(0.7)(<0.1)(0.4)(<0.1)(0.8)(<0.1)(1.0)(<0.1)
female-0.5-0.7-0.8-0.7
(0.5)(0.4)(0.3)(0.3)
ethnic1.10.91.6+1.4
(0.2)(0.3)(<0.1)(0.1)
lgbt0.71.81.51.31.6
(0.6)(0.1)(0.2)(0.3)(0.1)
elected0.0-0.2-0.3-0.3
(0.9)(0.5)(0.4)(0.2)
opp_mp0.00.20.20.90.2
(1.0)(0.9)(0.7)(0.1)(0.8)
mplr0.00.10.00.0
(0.8)(0.4)(0.9)(0.9)
1st_Truss-0.10.30.50.3
(0.9)(0.7)(0.5)(0.7)
1st_Sunak-0.4-0.20.2-0.3
(0.7)(0.9)(0.9)(0.7)
1st_Badenoch-0.5-1.3-1.9-1.6-2.4-1.8-2.2
(0.7)(0.4)(0.3)(0.3)(0.2)(0.3)(0.2)
1st_Mordaunt0.3-0.60.50.4
(0.8)(0.7)(0.7)(0.7)
1st_Tugendhat2.0+2.6*1.72.3*1.61.8+1.5
(<0.1)(<0.1)(0.1)(<0.1)(0.2)(<0.1)(0.2)
1st_Braverman0.11.11.41.4
(1.0)(0.4)(0.3)(0.3)
2nd_Sunak-0.2-1.2-1.3-1.1-1.3
(0.8)(0.2)(0.1)(0.1)(0.2)
2nd_Mordaunt-0.5-0.2-0.30.3
(0.7)(0.9)(0.9)(0.8)
2nd_Johnson-0.1-0.5-0.8-0.9
(1.0)(0.7)(0.5)(0.5)
grp_onc0.0-1.0-0.9-0.6-0.8
(1.0)(0.3)(0.2)(0.4)(0.3)
grp_csg0.4-0.2-0.3-0.4
(0.8)(0.9)(0.8)(0.8)
grp_erg0.2-0.5-0.7-0.9
(0.8)(0.7)(0.5)(0.5)
grp_fm0.72.1+2.2*1.9+1.6+2.2*1.9*
(0.5)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_lvl_up-1.1-2.1-1.7-1.7-1.6+-1.2-1.8*-1.7*
(0.2)(0.1)(0.1)(0.1)(<0.1)(0.1)(<0.1)(<0.1)
grp_cen-0.6-1.0-2.4-1.0-1.9+-1.3-1.5
(0.6)(0.4)(0.1)(0.3)(<0.1)(0.2)(0.1)
grp_crg-1.1-1.4-2.3-1.8-2.0-2.5-2.0
(0.5)(0.4)(0.2)(0.3)(0.2)(0.2)(0.2)
has_greenbelt-0.30.10.2-0.1
(0.6)(0.9)(0.8)(0.9)
Num.Obs.120120120120120120120120
AIC101.660.5102.575.2117.693.2122.198.1
BIC168.571.6169.497.5184.5118.3189.0114.8
Log.Lik.-26.778-26.225-27.230-29.590-34.779-37.600-37.040-43.026
RMSE0.240.240.240.270.290.310.300.33
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Tugendhat

r1
Tugendhat
standard
r1
Tugendhat
stepwise
r2
Tugendhat
standard
r2
Tugendhat
stepwise
r3
Tugendhat
standard
r3
Tugendhat
stepwise
(Intercept)6.410.9+6.410.9+3.2-1.8***
(0.4)(<0.1)(0.4)(<0.1)(0.6)(<0.1)
female0.40.40.3
(0.6)(0.6)(0.6)
ethnic0.50.5-0.2
(0.6)(0.6)(0.8)
lgbt-0.6-2.9-0.6-2.9-0.4
(0.8)(0.3)(0.8)(0.3)(0.8)
elected0.10.40.10.40.0
(0.7)(0.1)(0.7)(0.1)(0.9)
opp_mp-0.9-0.9-0.8-1.6*
(0.3)(0.3)(0.3)(<0.1)
mplr-0.1-0.2*-0.1-0.2*-0.1
(0.2)(<0.1)(0.2)(<0.1)(0.5)
1st_Truss0.60.60.0
(0.5)(0.5)(1.0)
1st_Sunak0.10.10.0
(0.9)(0.9)(1.0)
1st_Badenoch0.10.10.3
(1.0)(1.0)(0.8)
1st_Mordaunt1.21.20.5
(0.3)(0.3)(0.6)
1st_Tugendhat2.3+3.6**2.3+3.6**1.72.0+
(<0.1)(<0.1)(<0.1)(<0.1)(0.1)(<0.1)
1st_Braverman1.21.20.8
(0.4)(0.4)(0.5)
2nd_Sunak0.00.0-0.3
(1.0)(1.0)(0.7)
2nd_Mordaunt-2.2-2.1-2.2-2.1-2.6-4.5+
(0.2)(0.3)(0.2)(0.3)(0.2)(<0.1)
2nd_Johnson-1.0-1.0-0.4
(0.5)(0.5)(0.8)
grp_onc-0.5-0.5-0.1
(0.6)(0.6)(0.9)
grp_csg-0.4-0.4-0.8
(0.8)(0.8)(0.6)
grp_erg-0.1-0.1-0.5-2.3
(0.9)(0.9)(0.7)(0.1)
grp_fm1.61.61.41.7+
(0.1)(0.1)(0.2)(<0.1)
grp_lvl_up-0.1-0.1-0.5
(0.9)(0.9)(0.5)
grp_cen0.20.20.71.5+
(0.9)(0.9)(0.4)(<0.1)
grp_crg0.80.80.8
(0.5)(0.5)(0.5)
has_greenbelt-1.0-1.8+-1.0-1.8+-0.9
(0.2)(<0.1)(0.2)(<0.1)(0.2)
Num.Obs.120120120120120120
AIC96.460.496.460.4110.275.3
BIC163.379.9163.379.9177.194.8
Log.Lik.-24.207-23.195-24.207-23.195-31.109-30.655
RMSE0.230.240.230.240.260.28
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Stride

r1
Stride
standard
r1
Stride
stepwise
r2
Stride
standard
r2
Stride
stepwise
(Intercept)-1.8-3.6***-1.8-3.6***
(0.8)(<0.1)(0.8)(<0.1)
female-0.4-0.4
(0.6)(0.6)
ethnic-0.3-0.3
(0.8)(0.8)
lgbt-0.6-0.6
(0.7)(0.7)
elected-0.1-0.1
(0.7)(0.7)
opp_mp0.90.9
(0.3)(0.3)
mplr0.00.0
(1.0)(1.0)
1st_Truss-0.7-0.7
(0.6)(0.6)
1st_Sunak-0.3-0.3
(0.8)(0.8)
1st_Badenoch0.70.7
(0.6)(0.6)
1st_Mordaunt2.1*2.0*2.1*2.0*
(<0.1)(<0.1)(<0.1)(<0.1)
1st_Tugendhat0.70.7
(0.7)(0.7)
1st_Braverman1.71.7
(0.2)(0.2)
2nd_Sunak0.81.4+0.81.4+
(0.4)(<0.1)(0.4)(<0.1)
2nd_Mordaunt-0.4-0.4
(0.8)(0.8)
2nd_Johnson0.60.6
(0.7)(0.7)
grp_onc0.10.1
(0.9)(0.9)
grp_csg-0.2-0.2
(0.9)(0.9)
grp_erg-0.2-0.2
(0.8)(0.8)
grp_fm-0.6-0.6
(0.6)(0.6)
grp_lvl_up-0.7-0.7
(0.4)(0.4)
grp_cen-1.0-1.0
(0.3)(0.3)
grp_crg-0.8-0.8
(0.5)(0.5)
has_greenbelt0.30.3
(0.7)(0.7)
Num.Obs.120120120120
AIC96.657.896.657.8
BIC163.566.1163.566.1
Log.Lik.-24.303-25.888-24.303-25.888
RMSE0.220.240.220.24
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Patel

r1
Patel
standard
r1
Patel
stepwise
(Intercept)-2.54.1
(0.8)(0.6)
female-0.70.0
(0.5)(1.0)
ethnic0.40.3
(0.7)(0.8)
lgbt0.70.9
(0.7)(0.6)
elected-0.4-0.2
(0.2)(0.5)
opp_mp-1.0-1.2
(0.4)(0.3)
mplr0.0-0.1
(0.8)(0.4)
1st_Truss2.2*2.2*
(<0.1)(<0.1)
1st_Sunak0.30.0
(0.8)(1.0)
1st_Badenoch-0.5-0.5
(0.7)(0.8)
1st_Mordaunt-0.3-0.3
(0.9)(0.8)
1st_Tugendhat-0.8-1.7
(0.7)(0.5)
1st_Braverman0.80.6
(0.6)(0.7)
2nd_Sunak-1.8-1.0
(0.1)(0.4)
2nd_Mordaunt0.50.6
(0.8)(0.8)
2nd_Johnson-1.2-0.2
(0.4)(0.8)
grp_onc-1.3-0.7
(0.2)(0.5)
grp_csg-2.0-3.5+
(0.2)(<0.1)
grp_erg0.90.6
(0.5)(0.7)
grp_fm3.1*3.0*
(<0.1)(<0.1)
grp_lvl_up-0.2-0.3
(0.8)(0.7)
grp_cen-0.20.1
(0.8)(0.9)
grp_crg-3.2+
(<0.1)
has_greenbelt1.00.9
(0.3)(0.3)
Num.Obs.120120
AIC75.476.8
BIC142.3141.0
Log.Lik.-13.708-15.420
RMSE0.160.17
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Unknown

r1
Unknown
standard
r1
Unknown
stepwise
r2
Unknown
standard
r2
Unknown
stepwise
r3
Unknown
standard
r3
Unknown
stepwise
r4
Unknown
standard
r4
Unknown
stepwise
r5
Unknown
standard
r5
Unknown
stepwise
(Intercept)4.71.7**3.41.9**1.01.5*0.81.2+5.20.5+
(0.3)(<0.1)(0.5)(<0.1)(0.8)(<0.1)(0.9)(<0.1)(0.3)(<0.1)
female0.60.40.10.4-0.2
(0.3)(0.4)(0.8)(0.5)(0.7)
ethnic-0.8-0.2-0.7-1.1-0.2
(0.3)(0.8)(0.3)(0.1)(0.8)
lgbt1.00.40.1-0.10.8
(0.4)(0.7)(0.9)(0.9)(0.5)
elected-0.4-0.4*-0.5*-0.4**-0.5*-0.4**-0.4+-0.2+-0.2
(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.3)
opp_mp-0.3-0.5-0.70.0-0.3-0.4
(0.5)(0.3)(0.1)(1.0)(0.6)(0.5)
mplr0.00.00.00.00.0
(0.5)(0.8)(0.8)(0.8)(0.5)
1st_Truss-1.1-1.1*-0.6-1.3+-1.0*-1.1-1.0*-0.6
(0.1)(<0.1)(0.4)(<0.1)(<0.1)(0.1)(<0.1)(0.4)
1st_Sunak-0.4-0.3-1.0-0.6-0.6
(0.6)(0.7)(0.2)(0.5)(0.4)
1st_Badenoch-3.1*-2.8+-2.8+-2.8+-3.0*-2.5-2.6+-2.7+-3.3*-3.6*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)
1st_Mordaunt-0.7-0.8-0.50.10.1
(0.5)(0.4)(0.6)(0.9)(0.9)
1st_Tugendhat-1.7-1.6-1.3-1.10.31.21.7
(0.2)(0.2)(0.2)(0.4)(0.8)(0.3)(0.1)
1st_Braverman0.70.60.70.6-0.3
(0.5)(0.6)(0.5)(0.5)(0.8)
2nd_Sunak0.20.00.50.4-0.1
(0.8)(1.0)(0.4)(0.5)(0.8)
2nd_Mordaunt1.21.51.4-0.10.2
(0.3)(0.2)(0.2)(0.9)(0.9)
2nd_Johnson-2.2+-1.7+-1.4-1.5+-0.8-0.6-0.5
(<0.1)(<0.1)(0.2)(<0.1)(0.4)(0.5)(0.6)
grp_onc-0.3-0.7-0.7-0.5-0.6-0.7+
(0.6)(0.2)(0.2)(0.3)(0.3)(<0.1)
grp_csg0.2-0.4-0.4-0.6-0.6
(0.8)(0.7)(0.7)(0.6)(0.5)
grp_erg0.90.40.40.0-0.1
(0.3)(0.6)(0.6)(1.0)(0.9)
grp_fm0.30.91.10.50.92.0*1.6*
(0.7)(0.2)(0.1)(0.5)(0.2)(<0.1)(<0.1)
grp_lvl_up0.20.40.40.3-0.1
(0.8)(0.5)(0.5)(0.5)(0.8)
grp_cen0.00.40.30.6-0.2
(1.0)(0.6)(0.7)(0.3)(0.7)
grp_crg-0.4-0.5-1.2-1.0-0.9-1.4+
(0.6)(0.5)(0.2)(0.2)(0.3)(<0.1)
has_greenbelt0.50.40.40.10.2
(0.3)(0.4)(0.4)(0.8)(0.7)
Num.Obs.120120120120120120120120120120
AIC174.0149.3177.6153.2176.3150.6185.6157.4180.5151.7
BIC240.9163.3244.5172.8243.2161.8252.5168.5247.4168.5
Log.Lik.-63.021-69.666-64.784-69.621-64.139-71.305-68.789-74.687-66.240-69.865
RMSE0.420.450.430.450.430.450.450.470.430.45
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

By Rounds

Regression Output for Round 1

Badenoch
standard
Badenoch
stepwise
Jenrick
standard
Jenrick
stepwise
Cleverly
standard
Cleverly
stepwise
Tugendhat
standard
Tugendhat
stepwise
Stride
standard
Stride
stepwise
Patel
standard
Patel
stepwise
Unknown
standard
Unknown
stepwise
(Intercept)-7.2-3.4***-10.7+-15.2*-2.7-2.2***6.410.9+-1.8-3.6***-2.54.14.71.7**
(0.3)(<0.1)(<0.1)(<0.1)(0.7)(<0.1)(0.4)(<0.1)(0.8)(<0.1)(0.8)(0.6)(0.3)(<0.1)
female0.1-1.2-1.3-0.50.4-0.4-0.70.00.6
(0.8)(0.2)(0.2)(0.5)(0.6)(0.6)(0.5)(1.0)(0.3)
ethnic1.21.6*-1.2-2.31.10.5-0.30.40.3-0.8
(0.1)(<0.1)(0.3)(0.1)(0.2)(0.6)(0.8)(0.7)(0.8)(0.3)
lgbt-0.7-0.10.7-0.6-2.9-0.60.70.91.0
(0.7)(1.0)(0.6)(0.8)(0.3)(0.7)(0.7)(0.6)(0.4)
elected0.6+0.30.6*0.00.10.4-0.1-0.4-0.2-0.4-0.4*
(<0.1)(0.3)(<0.1)(0.9)(0.7)(0.1)(0.7)(0.2)(0.5)(0.1)(<0.1)
opp_mp1.7+1.7*-0.60.0-0.90.9-1.0-1.2-0.3
(<0.1)(<0.1)(0.5)(1.0)(0.3)(0.3)(0.4)(0.3)(0.5)
mplr0.00.10.1+0.0-0.1-0.2*0.00.0-0.10.0
(0.9)(0.2)(<0.1)(0.8)(0.2)(<0.1)(1.0)(0.8)(0.4)(0.5)
1st_Truss1.6-0.3-0.10.6-0.72.2*2.2*-1.1-1.1*
(0.1)(0.8)(0.9)(0.5)(0.6)(<0.1)(<0.1)(0.1)(<0.1)
1st_Sunak0.3-0.1-0.40.1-0.30.30.0-0.4
(0.8)(1.0)(0.7)(0.9)(0.8)(0.8)(1.0)(0.6)
1st_Badenoch1.52.9**2.3+2.4*-0.50.10.7-0.5-0.5-3.1*-2.8+
(0.2)(<0.1)(<0.1)(<0.1)(0.7)(1.0)(0.6)(0.7)(0.8)(<0.1)(<0.1)
1st_Mordaunt-1.0-1.9-1.30.31.22.1*2.0*-0.3-0.3-0.7
(0.5)(0.3)(0.2)(0.8)(0.3)(<0.1)(<0.1)(0.9)(0.8)(0.5)
1st_Tugendhat0.9-2.0-1.82.0+2.6*2.3+3.6**0.7-0.8-1.7-1.7
(0.5)(0.3)(0.3)(<0.1)(<0.1)(<0.1)(<0.1)(0.7)(0.7)(0.5)(0.2)
1st_Braverman-2.2-2.9-0.50.11.21.70.80.60.7
(0.2)(0.1)(0.7)(1.0)(0.4)(0.2)(0.6)(0.7)(0.5)
2nd_Sunak0.7-0.8-0.20.00.81.4+-1.8-1.00.2
(0.4)(0.4)(0.8)(1.0)(0.4)(<0.1)(0.1)(0.4)(0.8)
2nd_Mordaunt1.50.9-0.5-2.2-2.1-0.40.50.61.2
(0.4)(0.7)(0.7)(0.2)(0.3)(0.8)(0.8)(0.8)(0.3)
2nd_Johnson-3.2+-2.53.6**4.2**-0.1-1.00.6-1.2-0.2-2.2+-1.7+
(<0.1)(0.2)(<0.1)(<0.1)(1.0)(0.5)(0.7)(0.4)(0.8)(<0.1)(<0.1)
grp_onc0.31.9+1.7+0.0-0.50.1-1.3-0.7-0.3
(0.7)(<0.1)(<0.1)(1.0)(0.6)(0.9)(0.2)(0.5)(0.6)
grp_csg1.31.20.4-0.4-0.2-2.0-3.5+0.2
(0.4)(0.3)(0.8)(0.8)(0.9)(0.2)(<0.1)(0.8)
grp_erg1.1-0.80.2-0.1-0.20.90.60.9
(0.3)(0.4)(0.8)(0.9)(0.8)(0.5)(0.7)(0.3)
grp_fm-1.0-2.1-2.8+0.71.6-0.63.1*3.0*0.3
(0.4)(0.1)(<0.1)(0.5)(0.1)(0.6)(<0.1)(<0.1)(0.7)
grp_lvl_up0.10.4-1.1-2.1-0.1-0.7-0.2-0.30.2
(0.9)(0.6)(0.2)(0.1)(0.9)(0.4)(0.8)(0.7)(0.8)
grp_cen-0.41.21.1-0.60.2-1.0-0.20.10.0
(0.7)(0.2)(0.2)(0.6)(0.9)(0.3)(0.8)(0.9)(1.0)
grp_crg-0.32.8*2.3*-1.1-1.40.8-0.8-3.2+-0.4
(0.8)(<0.1)(<0.1)(0.5)(0.4)(0.5)(0.5)(<0.1)(0.6)
has_greenbelt-0.4-1.0-1.2+-0.3-1.0-1.8+0.31.00.90.5
(0.6)(0.1)(<0.1)(0.6)(0.2)(<0.1)(0.7)(0.3)(0.3)(0.3)
Num.Obs.120120120120120120120120120120120120120120
AIC108.276.9103.086.0101.660.596.460.496.657.875.476.8174.0149.3
BIC175.193.6169.9125.1168.571.6163.379.9163.566.1142.3141.0240.9163.3
Log.Lik.-30.120-32.434-27.479-29.020-26.778-26.225-24.207-23.195-24.303-25.888-13.708-15.420-63.021-69.666
RMSE0.260.280.250.270.240.240.230.240.220.240.160.170.420.45
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Round 2

Badenoch
standard
Badenoch
stepwise
Jenrick
standard
Jenrick
stepwise
Cleverly
standard
Cleverly
stepwise
Tugendhat
standard
Tugendhat
stepwise
Stride
standard
Stride
stepwise
Unknown
standard
Unknown
stepwise
(Intercept)-5.4-4.4***-7.6-4.0**-6.1-1.5***6.410.9+-1.8-3.6***3.41.9**
(0.4)(<0.1)(0.2)(<0.1)(0.4)(<0.1)(0.4)(<0.1)(0.8)(<0.1)(0.5)(<0.1)
female0.2-0.4-0.70.4-0.40.4
(0.8)(0.6)(0.4)(0.6)(0.6)(0.4)
ethnic1.0-1.4-1.70.90.5-0.3-0.2
(0.2)(0.3)(0.2)(0.3)(0.6)(0.8)(0.8)
lgbt-1.3-0.31.8-0.6-2.9-0.60.4
(0.4)(0.9)(0.1)(0.8)(0.3)(0.7)(0.7)
elected0.8*0.30.30.5*-0.20.10.4-0.1-0.5*-0.4**
(<0.1)(0.1)(0.3)(<0.1)(0.5)(0.7)(0.1)(0.7)(<0.1)(<0.1)
opp_mp1.9*1.8**-0.80.2-0.90.9-0.5-0.7
(<0.1)(<0.1)(0.3)(0.9)(0.3)(0.3)(0.3)(0.1)
mplr0.00.10.1-0.1-0.2*0.00.0
(0.8)(0.3)(0.4)(0.2)(<0.1)(1.0)(0.8)
1st_Truss2.1*0.9-0.40.30.6-0.7-0.6
(<0.1)(0.2)(0.7)(0.7)(0.5)(0.6)(0.4)
1st_Sunak0.60.1-0.20.1-0.3-0.3
(0.6)(0.9)(0.9)(0.9)(0.8)(0.7)
1st_Badenoch1.22.2*2.2+-1.3-1.90.10.7-2.8+-2.8+
(0.4)(<0.1)(<0.1)(0.4)(0.3)(1.0)(0.6)(<0.1)(<0.1)
1st_Mordaunt-1.60.2-0.61.22.1*2.0*-0.8
(0.3)(0.8)(0.7)(0.3)(<0.1)(<0.1)(0.4)
1st_Tugendhat0.7-2.5-2.71.72.3*2.3+3.6**0.7-1.6-1.3
(0.6)(0.2)(0.2)(0.1)(<0.1)(<0.1)(<0.1)(0.7)(0.2)(0.2)
1st_Braverman-2.5-2.40.11.11.21.70.6
(0.2)(0.2)(0.9)(0.4)(0.4)(0.2)(0.6)
2nd_Sunak1.0-1.6-1.20.00.81.4+0.0
(0.2)(0.1)(0.2)(1.0)(0.4)(<0.1)(1.0)
2nd_Mordaunt2.0-1.9-0.2-2.2-2.1-0.41.5
(0.3)(0.3)(0.9)(0.2)(0.3)(0.8)(0.2)
2nd_Johnson-4.2*-2.93.9**4.1**-0.5-1.00.6-1.4-1.5+
(<0.1)(0.1)(<0.1)(<0.1)(0.7)(0.5)(0.7)(0.2)(<0.1)
grp_onc0.31.9+0.9-1.0-0.9-0.50.1-0.7
(0.6)(<0.1)(0.2)(0.3)(0.2)(0.6)(0.9)(0.2)
grp_csg1.41.13.0*-0.2-0.4-0.2-0.4
(0.4)(0.4)(<0.1)(0.9)(0.8)(0.9)(0.7)
grp_erg1.7+-1.8-1.1-0.5-0.1-0.20.4
(<0.1)(0.1)(0.3)(0.7)(0.9)(0.8)(0.6)
grp_fm-1.4-3.2*-5.3*2.1+2.2*1.6-0.60.91.1
(0.2)(<0.1)(<0.1)(<0.1)(<0.1)(0.1)(0.6)(0.2)(0.1)
grp_lvl_up-0.10.3-1.7-1.7-0.1-0.70.4
(0.9)(0.6)(0.1)(0.1)(0.9)(0.4)(0.5)
grp_cen-0.81.0-1.0-2.40.2-1.00.4
(0.4)(0.3)(0.4)(0.1)(0.9)(0.3)(0.6)
grp_crg-0.62.8*2.7**-2.3-1.80.8-0.8-0.5
(0.6)(<0.1)(<0.1)(0.2)(0.3)(0.5)(0.5)(0.5)
has_greenbelt-0.4-0.40.1-1.0-1.8+0.30.4
(0.5)(0.5)(0.9)(0.2)(<0.1)(0.7)(0.4)
Num.Obs.120120120120120120120120120120120120
AIC115.892.5119.597.0102.575.296.460.496.657.8177.6153.2
BIC182.7112.0186.4124.9169.497.5163.379.9163.566.1244.5172.8
Log.Lik.-33.893-39.246-35.746-38.502-27.230-29.590-24.207-23.195-24.303-25.888-64.784-69.621
RMSE0.290.320.300.320.240.270.230.240.220.240.430.45
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Round 3

Badenoch
standard
Badenoch
stepwise
Jenrick
standard
Jenrick
stepwise
Cleverly
standard
Cleverly
stepwise
Tugendhat
standard
Tugendhat
stepwise
Unknown
standard
Unknown
stepwise
(Intercept)-3.9-6.5***-7.7-1.3**-1.2-1.4***3.2-1.8***1.01.5*
(0.6)(<0.1)(0.2)(<0.1)(0.8)(<0.1)(0.6)(<0.1)(0.8)(<0.1)
female0.4-0.1-0.80.30.1
(0.6)(0.9)(0.3)(0.6)(0.8)
ethnic1.5+1.8*-1.4-1.31.6+-0.2-0.7
(<0.1)(<0.1)(0.2)(0.3)(<0.1)(0.8)(0.3)
lgbt-1.0-0.31.5-0.40.1
(0.5)(0.9)(0.2)(0.8)(0.9)
elected0.8*0.6*0.2-0.30.0-0.5*-0.4**
(<0.1)(<0.1)(0.5)(0.4)(0.9)(<0.1)(<0.1)
opp_mp1.3+0.8-1.0-0.90.20.9-0.8-1.6*0.0
(<0.1)(0.2)(0.2)(0.1)(0.7)(0.1)(0.3)(<0.1)(1.0)
mplr0.00.10.0-0.10.0
(0.6)(0.3)(0.9)(0.5)(0.8)
1st_Truss2.5*2.4*-0.10.50.0-1.3+-1.0*
(<0.1)(<0.1)(0.9)(0.5)(1.0)(<0.1)(<0.1)
1st_Sunak1.52.4*0.40.20.0-1.0
(0.2)(<0.1)(0.7)(0.9)(1.0)(0.2)
1st_Badenoch1.52.7*2.4*2.1*-1.6-2.40.3-3.0*-2.5
(0.2)(<0.1)(<0.1)(<0.1)(0.3)(0.2)(0.8)(<0.1)(0.1)
1st_Mordaunt-0.20.30.50.5-0.5
(0.9)(0.8)(0.7)(0.6)(0.6)
1st_Tugendhat0.3-2.4-2.51.61.8+1.72.0+-1.1
(0.8)(0.2)(0.2)(0.2)(<0.1)(0.1)(<0.1)(0.4)
1st_Braverman-2.8-3.2+0.71.40.80.7
(0.1)(<0.1)(0.6)(0.3)(0.5)(0.5)
2nd_Sunak1.0-1.3-0.7-1.3-1.1-0.30.5
(0.2)(0.2)(0.3)(0.1)(0.1)(0.7)(0.4)
2nd_Mordaunt0.6-1.6-0.3-2.6-4.5+1.4
(0.7)(0.3)(0.9)(0.2)(<0.1)(0.2)
2nd_Johnson-4.1*-4.4*3.4*3.4**-0.8-0.4-0.8
(<0.1)(<0.1)(<0.1)(<0.1)(0.5)(0.8)(0.4)
grp_onc0.31.40.8-0.6-0.1-0.7
(0.6)(0.1)(0.2)(0.4)(0.9)(0.2)
grp_csg1.31.02.1+-0.3-0.8-0.4
(0.4)(0.4)(<0.1)(0.8)(0.6)(0.7)
grp_erg1.7+1.5+-1.7-1.7+-0.7-0.5-2.30.4
(<0.1)(<0.1)(0.1)(<0.1)(0.5)(0.7)(0.1)(0.6)
grp_fm-1.4-1.4-3.1*-3.9*1.9+1.6+1.41.7+0.5
(0.2)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)(0.2)(<0.1)(0.5)
grp_lvl_up-0.10.1-1.6+-1.2-0.50.4
(0.9)(0.9)(<0.1)(0.1)(0.5)(0.5)
grp_cen-1.01.0-1.0-1.9+0.71.5+0.3
(0.2)(0.2)(0.3)(<0.1)(0.4)(<0.1)(0.7)
grp_crg0.32.7*3.0**-2.0-2.50.8-1.2
(0.8)(<0.1)(<0.1)(0.2)(0.2)(0.5)(0.2)
has_greenbelt-0.4-0.10.2-0.90.4
(0.6)(0.8)(0.8)(0.2)(0.4)
Num.Obs.120120120120120120120120120120
AIC120.597.6124.3104.0117.693.2110.275.3176.3150.6
BIC187.4128.3191.2137.5184.5118.3177.194.8243.2161.8
Log.Lik.-36.266-37.821-38.152-40.021-34.779-37.600-31.109-30.655-64.139-71.305
RMSE0.300.310.310.320.290.310.260.280.430.45
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Round 4

Badenoch
standard
Badenoch
stepwise
Jenrick
standard
Jenrick
stepwise
Cleverly
standard
Cleverly
stepwise
Unknown
standard
Unknown
stepwise
(Intercept)-3.7-7.0***-7.8-1.1**0.3-1.3***0.81.2+
(0.6)(<0.1)(0.2)(<0.1)(1.0)(<0.1)(0.9)(<0.1)
female0.3-0.2-0.70.4
(0.7)(0.7)(0.3)(0.5)
ethnic1.9*2.4**-1.6-1.31.4-1.1
(<0.1)(<0.1)(0.2)(0.3)(0.1)(0.1)
lgbt-0.9-0.51.31.6-0.1
(0.5)(0.8)(0.3)(0.1)(0.9)
elected0.7*0.7*0.2-0.3-0.4+-0.2+
(<0.1)(<0.1)(0.4)(0.2)(<0.1)(<0.1)
opp_mp1.3+1.1-1.1-1.0+0.2-0.3
(<0.1)(0.1)(0.2)(<0.1)(0.8)(0.6)
mplr0.00.10.00.0
(0.6)(0.3)(0.9)(0.8)
1st_Truss2.7*2.9*-0.10.3-1.1-1.0*
(<0.1)(<0.1)(0.9)(0.7)(0.1)(<0.1)
1st_Sunak1.72.5*0.4-0.3-0.6
(0.1)(<0.1)(0.7)(0.7)(0.5)
1st_Badenoch1.52.5+2.4*2.1*-1.8-2.2-2.6+-2.7+
(0.3)(<0.1)(<0.1)(<0.1)(0.3)(0.2)(<0.1)(<0.1)
1st_Mordaunt-0.50.20.40.1
(0.7)(0.9)(0.7)(0.9)
1st_Tugendhat0.2-2.4-2.51.50.3
(0.9)(0.2)(0.2)(0.2)(0.8)
1st_Braverman-3.3+-3.9*0.61.40.6
(<0.1)(<0.1)(0.6)(0.3)(0.5)
2nd_Sunak0.8-1.4-0.7-1.30.4
(0.3)(0.1)(0.3)(0.2)(0.5)
2nd_Mordaunt0.7-1.60.3-0.1
(0.7)(0.3)(0.8)(0.9)
2nd_Johnson-4.6*-5.4*3.4*3.3**-0.9-0.6
(<0.1)(<0.1)(<0.1)(<0.1)(0.5)(0.5)
grp_onc0.21.5+0.7-0.8-0.5
(0.8)(<0.1)(0.3)(0.3)(0.3)
grp_csg1.20.92.0-0.4-0.6
(0.5)(0.5)(0.1)(0.8)(0.6)
grp_erg1.9+2.0*-1.5-1.7+-0.90.0
(<0.1)(<0.1)(0.2)(<0.1)(0.5)(1.0)
grp_fm-1.6-1.6-3.1*-3.8*2.2*1.9*0.9
(0.2)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.2)
grp_lvl_up0.10.0-1.8*-1.7*0.3
(0.9)(1.0)(<0.1)(<0.1)(0.5)
grp_cen-1.1-0.70.9-1.3-1.50.6
(0.2)(0.4)(0.3)(0.2)(0.1)(0.3)
grp_crg0.72.8*2.9**-2.0-1.0
(0.5)(<0.1)(<0.1)(0.2)(0.2)
has_greenbelt-0.4-0.3-0.10.1
(0.5)(0.6)(0.9)(0.8)
Num.Obs.120120120120120120120120
AIC118.195.5125.6106.6122.198.1185.6157.4
BIC185.0128.9192.5140.1189.0114.8252.5168.5
Log.Lik.-35.069-35.730-38.797-41.306-37.040-43.026-68.789-74.687
RMSE0.300.300.320.330.300.330.450.47
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Round 5

Badenoch
standard
Badenoch
stepwise
Jenrick
standard
Jenrick
stepwise
Unknown
standard
Unknown
stepwise
(Intercept)1.9-2.3***-9.0-3.6**5.20.5+
(0.7)(<0.1)(0.1)(<0.1)(0.3)(<0.1)
female0.3-0.2-0.2
(0.7)(0.8)(0.7)
ethnic1.5+1.4*-1.1-0.2
(<0.1)(<0.1)(0.3)(0.8)
lgbt-1.1-0.60.8
(0.4)(0.7)(0.5)
elected-0.10.40.4*-0.2
(0.7)(0.1)(<0.1)(0.3)
opp_mp1.8**1.8**-1.4+-1.3*-0.4
(<0.1)(<0.1)(<0.1)(<0.1)(0.5)
mplr-0.10.10.0
(0.4)(0.3)(0.5)
1st_Truss0.70.3-0.6
(0.4)(0.7)(0.4)
1st_Sunak0.00.6-0.6
(1.0)(0.6)(0.4)
1st_Badenoch0.91.32.0+2.1*-3.3*-3.6*
(0.4)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)
1st_Mordaunt-0.20.00.1
(0.8)(1.0)(0.9)
1st_Tugendhat0.7-2.3-2.11.21.7
(0.6)(0.2)(0.2)(0.3)(0.1)
1st_Braverman-1.8-1.21.52.2*-0.3
(0.2)(0.3)(0.2)(<0.1)(0.8)
2nd_Sunak0.5-0.8-0.1
(0.4)(0.4)(0.8)
2nd_Mordaunt0.9-1.00.2
(0.5)(0.6)(0.9)
2nd_Johnson-4.4*-2.7+3.2*3.3**-0.5
(<0.1)(<0.1)(<0.1)(<0.1)(0.6)
grp_onc-0.41.8*1.6*-0.6-0.7+
(0.5)(<0.1)(<0.1)(0.3)(<0.1)
grp_csg0.61.0-0.6
(0.7)(0.4)(0.5)
grp_erg1.5-1.2-0.1
(0.1)(0.3)(0.9)
grp_fm-1.0-3.4*-3.2*2.0*1.6*
(0.3)(<0.1)(<0.1)(<0.1)(<0.1)
grp_lvl_up-0.40.1-0.1
(0.6)(0.8)(0.8)
grp_cen0.10.6-0.2
(0.9)(0.5)(0.7)
grp_crg-0.82.7*2.6**-0.9-1.4+
(0.4)(<0.1)(<0.1)(0.3)(<0.1)
has_greenbelt-0.5-0.20.2
(0.4)(0.7)(0.7)
Num.Obs.120120120120120120
AIC144.2117.3129.5108.9180.5151.7
BIC211.1134.1196.4136.8247.4168.5
Log.Lik.-48.086-52.669-40.763-44.441-66.240-69.865
RMSE0.360.380.330.340.430.45
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

By Candidate (old MPs)

Regression Output for Badenoch among old MPs

r1
Badenoch
standard
pre-2024
r1
Badenoch
stepwise
pre-2024
r2
Badenoch
standard
pre-2024
r2
Badenoch
stepwise
pre-2024
r3
Badenoch
standard
pre-2024
r3
Badenoch
stepwise
pre-2024
r4
Badenoch
standard
pre-2024
r4
Badenoch
stepwise
pre-2024
r5
Badenoch
standard
pre-2024
r5
Badenoch
stepwise
pre-2024
(Intercept)-6.9-4.8***-5.0-3.0***-2.4-2.4***-1.9-3.3**1.1-2.4***
(0.3)(<0.1)(0.4)(<0.1)(0.7)(<0.1)(0.8)(<0.1)(0.8)(<0.1)
female0.60.90.90.80.81.2+
(0.5)(0.3)(0.3)(0.3)(0.3)(<0.1)
ethnic0.60.31.01.62.0*1.1
(0.5)(0.8)(0.3)(0.1)(<0.1)(0.2)
lgbt-0.6-1.0-0.8-0.7-1.0
(0.7)(0.5)(0.6)(0.6)(0.5)
elected0.8+0.5+0.7+0.6+0.5-0.2
(<0.1)(<0.1)(<0.1)(<0.1)(0.1)(0.6)
opp_mp1.41.52.0*2.0*1.4+1.4+1.5+1.3+2.0*1.8**
(0.1)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
mplr0.00.00.00.00.0
(0.9)(0.9)(0.6)(0.5)(0.6)
1st_Truss1.31.11.41.51.00.1
(0.2)(0.3)(0.2)(0.2)(0.3)(0.9)
1st_Sunak0.0-0.20.60.70.9-0.4
(1.0)(0.9)(0.6)(0.5)(0.4)(0.7)
1st_Badenoch1.12.5*0.92.6*1.12.3*1.22.5*1.0
(0.4)(<0.1)(0.5)(<0.1)(0.4)(<0.1)(0.3)(<0.1)(0.4)
1st_Mordaunt-1.2-1.8-0.5-0.7-0.4
(0.4)(0.2)(0.7)(0.6)(0.7)
1st_Tugendhat0.50.60.40.30.7
(0.7)(0.6)(0.8)(0.8)(0.6)
1st_Braverman-1.9-1.9-2.1-3.1-2.3-3.0-2.8-3.7+-2.0
(0.3)(0.3)(0.2)(0.1)(0.2)(0.1)(0.1)(<0.1)(0.1)
2nd_Sunak0.50.80.80.60.6
(0.6)(0.4)(0.3)(0.4)(0.4)
2nd_Mordaunt1.11.80.80.90.8
(0.5)(0.3)(0.6)(0.6)(0.6)
2nd_Johnson-3.4-2.3-4.3+-2.6-3.9+-2.5-4.3*-4.1*-4.1*-2.7+
(0.1)(0.2)(<0.1)(0.2)(<0.1)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)
grp_onc0.30.20.20.1-0.4
(0.7)(0.7)(0.7)(0.8)(0.5)
grp_csg1.01.01.01.10.7
(0.5)(0.5)(0.5)(0.5)(0.6)
grp_erg1.01.61.61.8+1.21.3
(0.4)(0.1)(0.1)(<0.1)(0.1)(0.2)
grp_fm-0.9-1.2-1.2-1.3-0.9-0.8
(0.4)(0.3)(0.3)(0.2)(0.3)(0.4)
grp_lvl_up0.20.10.10.2-0.2
(0.8)(0.9)(0.8)(0.8)(0.8)
grp_cen-0.6-0.7-0.9-0.90.1
(0.5)(0.4)(0.3)(0.3)(0.9)
grp_crg-0.3-0.80.10.4-0.8
(0.8)(0.5)(0.9)(0.7)(0.4)
has_greenbelt-0.2-0.4-0.4-0.4-0.5
(0.7)(0.5)(0.6)(0.6)(0.4)
Num.Obs.94949494949494949494
AIC101.069.1106.377.6112.785.8111.287.4131.9102.9
BIC162.084.4167.490.3173.798.5172.2112.8192.9113.0
Log.Lik.-26.489-28.552-29.158-33.807-32.334-37.911-31.597-33.699-41.927-47.428
RMSE0.280.300.300.330.330.360.320.330.380.41
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Jenrick among old MPs

r1
Jenrick
standard
pre-2024
r1
Jenrick
stepwise
pre-2024
r2
Jenrick
standard
pre-2024
r2
Jenrick
stepwise
pre-2024
r3
Jenrick
standard
pre-2024
r3
Jenrick
stepwise
pre-2024
r4
Jenrick
standard
pre-2024
r4
Jenrick
stepwise
pre-2024
r5
Jenrick
standard
pre-2024
r5
Jenrick
stepwise
pre-2024
(Intercept)-9.0-3.2**-6.4-2.5+-6.0-2.4+-6.0-2.4+-7.2-3.5**
(0.2)(<0.1)(0.3)(<0.1)(0.3)(<0.1)(0.3)(<0.1)(0.3)(<0.1)
female-0.80.00.40.40.5
(0.5)(1.0)(0.6)(0.6)(0.6)
ethnic-1.5-3.0-1.7-2.6-1.9-2.9-1.9-2.9-1.4
(0.3)(0.2)(0.3)(0.2)(0.2)(0.1)(0.2)(0.1)(0.3)
lgbt-0.3-0.30.00.0-0.1
(0.9)(0.9)(1.0)(1.0)(0.9)
elected0.50.6+0.50.7+0.40.50.40.50.7+0.6*
(0.2)(<0.1)(0.2)(<0.1)(0.2)(0.1)(0.2)(0.1)(<0.1)(<0.1)
opp_mp-0.8-0.9-1.2-1.2-1.2-1.7*-1.4+
(0.3)(0.3)(0.2)(0.1)(0.1)(<0.1)(<0.1)
mplr0.10.10.10.10.1
(0.3)(0.5)(0.5)(0.5)(0.5)
1st_Truss-0.2-0.20.10.10.5
(0.9)(0.9)(0.9)(0.9)(0.6)
1st_Sunak0.00.30.60.60.9
(1.0)(0.8)(0.6)(0.6)(0.5)
1st_Badenoch1.92.02.3+2.1+1.9+2.1+1.9+1.81.7+
(0.1)(0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(0.1)(<0.1)
1st_Mordaunt-2.0-1.4-2.0-2.6*-1.8-2.1*-1.8-2.1*-2.0-1.4
(0.3)(0.2)(0.3)(<0.1)(0.3)(<0.1)(0.3)(<0.1)(0.3)(0.2)
1st_Tugendhat-1.6-2.0-1.8-2.8-1.8-2.2-1.8-2.2-2.1-2.7
(0.4)(0.3)(0.3)(0.2)(0.3)(0.2)(0.3)(0.2)(0.2)(0.2)
1st_Braverman-0.4-0.40.30.31.0
(0.8)(0.8)(0.8)(0.8)(0.4)
2nd_Sunak-0.8-1.3-1.9*-1.2-1.2-1.2-1.2-0.9
(0.4)(0.2)(<0.1)(0.2)(0.1)(0.2)(0.1)(0.3)
2nd_Mordaunt1.00.40.30.30.7
(0.6)(0.9)(0.9)(0.9)(0.7)
2nd_Johnson3.0*3.6**3.3*4.9*3.1*3.0*3.1*3.0*3.3*2.5*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_onc1.6+1.7*2.4*1.31.3+1.31.3+1.7*1.3+
(<0.1)(<0.1)(<0.1)(0.1)(<0.1)(0.1)(<0.1)(<0.1)(<0.1)
grp_csg1.22.5+1.30.90.91.22.1+
(0.3)(<0.1)(0.3)(0.5)(0.5)(0.4)(<0.1)
grp_erg-0.5-0.8-1.5-0.9-0.9-0.8
(0.7)(0.5)(0.2)(0.4)(0.4)(0.5)
grp_fm-2.2+-4.5*-2.9+-4.2*-2.7+-3.0*-2.7+-3.0*-3.5*-4.2*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_lvl_up0.0-0.1-0.3-0.3-0.2
(1.0)(0.9)(0.7)(0.7)(0.8)
grp_cen0.80.60.70.70.2
(0.4)(0.5)(0.4)(0.4)(0.8)
grp_crg2.7*2.5**3.2*4.2**3.1**2.8**3.1**2.8**3.4**3.0**
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
has_greenbelt-1.6+-1.4+-1.9*-2.2*-1.4+-1.6*-1.4+-1.6*-1.3+
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
Num.Obs.94949494949494949494
AIC89.366.890.068.796.276.796.276.798.180.9
BIC150.392.2151.1104.3157.2107.2157.2107.2159.2108.9
Log.Lik.-20.649-23.378-21.016-20.343-24.080-26.327-24.080-26.327-25.072-29.458
RMSE0.240.270.250.250.270.280.270.280.280.31
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Cleverly among old MPs

r1
Cleverly
standard
pre-2024
r1
Cleverly
stepwise
pre-2024
r2
Cleverly
standard
pre-2024
r2
Cleverly
stepwise
pre-2024
r3
Cleverly
standard
pre-2024
r3
Cleverly
stepwise
pre-2024
r4
Cleverly
standard
pre-2024
r4
Cleverly
stepwise
pre-2024
(Intercept)0.1-7.7**-5.5-6.9**0.30.12.60.2
(1.0)(<0.1)(0.5)(<0.1)(1.0)(0.8)(0.7)(0.8)
female-1.0-1.1-1.6-1.2-1.1-0.8
(0.3)(0.3)(0.1)(0.2)(0.3)(0.4)
ethnic1.10.82.0+2.8*1.82.4*
(0.3)(0.5)(<0.1)(<0.1)(0.1)(<0.1)
lgbt1.92.31.41.11.0
(0.3)(0.2)(0.4)(0.5)(0.5)
elected0.42.0*0.42.0**0.10.1
(0.3)(<0.1)(0.4)(<0.1)(0.8)(0.7)
opp_mp-1.0-2.6+-0.4-0.4-0.3
(0.3)(<0.1)(0.7)(0.7)(0.7)
mplr0.00.00.00.0
(0.8)(0.6)(0.9)(0.7)
1st_Truss-0.20.10.60.0
(0.9)(0.9)(0.6)(1.0)
1st_Sunak-0.6-0.30.1-0.6
(0.6)(0.8)(0.9)(0.6)
1st_Badenoch-0.9-3.8-1.2-5.2*-1.8-1.7-2.2-2.6
(0.6)(0.1)(0.4)(<0.1)(0.3)(0.3)(0.2)(0.2)
1st_Mordaunt0.50.0-3.91.41.1
(0.8)(1.0)(0.1)(0.3)(0.4)
1st_Tugendhat0.4-0.90.71.00.5
(0.8)(0.6)(0.7)(0.5)(0.7)
1st_Braverman0.1-5.20.81.31.2
(0.9)(0.1)(0.6)(0.4)(0.4)
2nd_Sunak-0.4-0.8-1.9+-1.1-1.9*-1.1-2.0*
(0.7)(0.4)(<0.1)(0.2)(<0.1)(0.2)(<0.1)
2nd_Mordaunt-1.1-1.0-1.1-0.5
(0.5)(0.6)(0.5)(0.8)
2nd_Johnson0.1-0.1-0.5-0.5
(1.0)(1.0)(0.7)(0.7)
grp_onc0.01.3-0.6-0.5-0.5
(1.0)(0.3)(0.4)(0.5)(0.5)
grp_csg-0.3-0.3-0.2-0.5
(0.8)(0.9)(0.9)(0.8)
grp_erg0.84.6*0.2-0.3-1.9-0.3-2.0
(0.5)(<0.1)(0.9)(0.8)(0.1)(0.8)(0.1)
grp_fm0.30.51.11.11.4
(0.8)(0.6)(0.3)(0.3)(0.2)
grp_lvl_up-1.4-6.2*-1.1-3.6*-1.5+-1.5+-1.6+-2.0*
(0.2)(<0.1)(0.2)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
grp_cen-0.7-5.1+-1.3-5.8**-1.1-1.8+-1.5-2.1*
(0.5)(<0.1)(0.3)(<0.1)(0.3)(<0.1)(0.1)(<0.1)
grp_crg-0.4-2.1-5.2+-1.8-1.9-1.7-1.8
(0.8)(0.2)(<0.1)(0.3)(0.2)(0.3)(0.3)
has_greenbelt0.30.81.20.60.5
(0.7)(0.3)(0.2)(0.4)(0.5)
Num.Obs.9494949494949494
AIC80.941.981.541.093.465.595.667.3
BIC141.969.9142.663.9154.488.3156.792.8
Log.Lik.-16.435-9.966-16.769-11.516-22.694-23.727-23.820-23.660
RMSE0.200.170.200.190.260.280.270.28
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Tugendhat among old MPs

r1
Tugendhat
standard
pre-2024
r1
Tugendhat
stepwise
pre-2024
r2
Tugendhat
standard
pre-2024
r2
Tugendhat
stepwise
pre-2024
r3
Tugendhat
standard
pre-2024
r3
Tugendhat
stepwise
pre-2024
(Intercept)-1.1-9.3**-1.1-9.3**-4.5-3.8+
(0.9)(<0.1)(0.9)(<0.1)(0.5)(<0.1)
female1.85.5*1.85.5*1.62.4
(0.1)(<0.1)(0.1)(<0.1)(0.2)(0.1)
ethnic-0.7-0.7-1.1
(0.6)(0.6)(0.4)
lgbt-0.4-0.4-0.2
(0.8)(0.8)(0.9)
elected-0.1-0.1-0.5-1.3*
(0.9)(0.9)(0.2)(<0.1)
opp_mp-0.3-0.30.0
(0.8)(0.8)(1.0)
mplr0.00.00.0
(0.7)(0.7)(0.7)
1st_Truss0.90.90.0
(0.5)(0.5)(1.0)
1st_Sunak0.50.50.73.0+
(0.7)(0.7)(0.6)(<0.1)
1st_Badenoch0.80.81.4
(0.5)(0.5)(0.3)
1st_Mordaunt1.21.21.2
(0.3)(0.3)(0.3)
1st_Tugendhat2.6+5.4*2.6+5.4*2.8+6.3*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
1st_Braverman1.01.00.3
(0.4)(0.4)(0.8)
2nd_Sunak0.72.60.72.60.5
(0.5)(0.1)(0.5)(0.1)(0.7)
2nd_Mordaunt-1.2-4.8-1.2-4.8-2.4-6.5+
(0.5)(0.1)(0.5)(0.1)(0.2)(<0.1)
2nd_Johnson-0.4-0.40.5
(0.8)(0.8)(0.8)
grp_onc-0.4-0.4-0.3
(0.7)(0.7)(0.7)
grp_csg-0.3-0.3-0.8
(0.9)(0.9)(0.6)
grp_erg-0.8-5.1*-0.8-5.1*-1.6-4.7*
(0.5)(<0.1)(0.5)(<0.1)(0.2)(<0.1)
grp_fm1.84.9*1.84.9*1.83.3*
(0.1)(<0.1)(0.1)(<0.1)(0.1)(<0.1)
grp_lvl_up0.72.80.72.80.82.8
(0.5)(0.1)(0.5)(0.1)(0.4)(0.1)
grp_cen0.40.41.43.4*
(0.7)(0.7)(0.1)(<0.1)
grp_crg1.01.00.2
(0.5)(0.5)(0.9)
has_greenbelt-0.8-0.8-0.1
(0.4)(0.4)(0.9)
Num.Obs.949494949494
AIC71.527.971.527.975.935.1
BIC132.548.3132.548.3136.960.5
Log.Lik.-11.745-5.961-11.745-5.961-13.951-7.546
RMSE0.150.120.150.120.180.14
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Stride among old MPs

r1
Stride
standard
pre-2024
r1
Stride
stepwise
pre-2024
r2
Stride
standard
pre-2024
r2
Stride
stepwise
pre-2024
(Intercept)-3.1-2.5-3.1-2.5
(0.6)(0.7)(0.6)(0.7)
female-0.3-0.4-0.3-0.4
(0.8)(0.7)(0.8)(0.7)
ethnic-0.1-0.1
(1.0)(1.0)
lgbt-0.6-0.2-0.6-0.2
(0.8)(0.9)(0.8)(0.9)
elected-0.2-0.3-0.2-0.3
(0.6)(0.4)(0.6)(0.4)
opp_mp0.91.40.91.4
(0.3)(0.2)(0.3)(0.2)
mplr0.00.00.00.0
(1.0)(0.9)(1.0)(0.9)
1st_Truss-0.8-0.4-0.8-0.4
(0.5)(0.7)(0.5)(0.7)
1st_Sunak-0.2-0.2
(0.9)(0.9)
1st_Badenoch0.70.7
(0.6)(0.6)
1st_Mordaunt2.8*3.2**2.8*3.2**
(<0.1)(<0.1)(<0.1)(<0.1)
1st_Tugendhat1.41.4
(0.4)(0.4)
1st_Braverman1.83.4+1.83.4+
(0.2)(<0.1)(0.2)(<0.1)
2nd_Sunak1.11.61.11.6
(0.3)(0.1)(0.3)(0.1)
2nd_Mordaunt-0.4-0.4
(0.8)(0.8)
2nd_Johnson1.01.0
(0.5)(0.5)
grp_onc0.10.40.10.4
(0.9)(0.7)(0.9)(0.7)
grp_csg0.50.5
(0.8)(0.8)
grp_erg-0.3-1.8-0.3-1.8
(0.8)(0.2)(0.8)(0.2)
grp_fm-0.8-1.3-0.8-1.3
(0.5)(0.4)(0.5)(0.4)
grp_lvl_up-0.5-1.1-0.5-1.1
(0.5)(0.3)(0.5)(0.3)
grp_cen-1.0-1.5-1.0-1.5
(0.3)(0.2)(0.3)(0.2)
grp_crg-1.3-1.3
(0.4)(0.4)
has_greenbelt0.91.00.91.0
(0.3)(0.3)(0.3)(0.3)
Num.Obs.94949494
AIC86.363.486.363.4
BIC147.3104.1147.3104.1
Log.Lik.-19.148-15.712-19.148-15.712
RMSE0.230.210.230.21
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Patel among old MPs

r1
Patel
standard
pre-2024
r1
Patel
stepwise
pre-2024
(Intercept)-4.610.9
(0.6)(0.3)
female0.50.3
(0.7)(0.7)
ethnic0.61.5
(0.6)(0.2)
lgbt1.3
(0.5)
elected-0.4
(0.4)
opp_mp0.4
(0.7)
mplr0.1-0.2
(0.6)(0.3)
1st_Truss0.3
(0.8)
1st_Sunak-0.4-2.2
(0.8)(0.1)
1st_Badenoch-0.9-4.3
(0.6)(0.1)
1st_Mordaunt-1.2-2.2
(0.5)(0.2)
1st_Tugendhat-0.3-2.0
(0.9)(0.3)
1st_Braverman0.6
(0.7)
2nd_Sunak-1.8-2.7+
(0.1)(<0.1)
2nd_Mordaunt0.4
(0.8)
2nd_Johnson0.0
(1.0)
grp_onc-0.7
(0.4)
grp_csg-0.8
(0.6)
grp_erg-0.6-0.9
(0.6)(0.4)
grp_fm1.71.5
(0.2)(0.2)
grp_lvl_up0.0
(1.0)
grp_cen-0.3-2.2
(0.8)(0.1)
grp_crg-1.8
(0.2)
has_greenbelt0.71.2
(0.4)(0.2)
Num.Obs.9494
AIC75.347.4
BIC136.380.4
Log.Lik.-13.645-10.690
RMSE0.180.17
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001

Regression Output for Unknown among old MPs

r1
Unknown
standard
pre-2024
r1
Unknown
stepwise
pre-2024
r2
Unknown
standard
pre-2024
r2
Unknown
stepwise
pre-2024
r3
Unknown
standard
pre-2024
r3
Unknown
stepwise
pre-2024
r4
Unknown
standard
pre-2024
r4
Unknown
stepwise
pre-2024
r5
Unknown
standard
pre-2024
r5
Unknown
stepwise
pre-2024
(Intercept)5.41.4+4.81.6*2.42.2*0.01.14.80.4
(0.3)(<0.1)(0.3)(<0.1)(0.6)(<0.1)(1.0)(0.1)(0.3)(0.3)
female0.1-0.6-0.8-0.3-1.3+-0.9
(0.9)(0.4)(0.3)(0.7)(<0.1)(0.1)
ethnic0.00.7-0.1-0.90.3
(1.0)(0.4)(0.9)(0.3)(0.7)
lgbt0.41.10.60.20.8
(0.7)(0.4)(0.6)(0.9)(0.5)
elected-0.4-0.4+-0.5+-0.5*-0.4-0.4*-0.5+-0.3-0.1
(0.1)(<0.1)(<0.1)(<0.1)(0.1)(<0.1)(<0.1)(0.1)(0.6)
opp_mp-0.2-0.8-0.4-0.4-0.7
(0.7)(0.2)(0.5)(0.5)(0.2)
mplr0.00.00.00.00.0
(0.4)(0.6)(1.0)(0.6)(0.5)
1st_Truss-0.5-0.6-1.4-1.6*-0.9-0.3
(0.5)(0.5)(0.1)(<0.1)(0.3)(0.7)
1st_Sunak0.2-0.2-1.0-0.9-0.3-0.4
(0.8)(0.8)(0.2)(0.2)(0.7)(0.7)
1st_Badenoch-2.6+-3.2*-2.6+-2.9+-2.8+-2.7+-2.5+-3.0+-3.1+-3.3*
(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)(<0.1)
1st_Mordaunt-1.1-1.2-0.2-0.10.81.21.0
(0.3)(0.2)(0.8)(0.9)(0.4)(0.3)(0.2)
1st_Tugendhat-1.1-1.4-1.3-1.01.01.21.9
(0.4)(0.2)(0.4)(0.5)(0.4)(0.3)(0.1)
1st_Braverman0.30.70.70.90.0
(0.8)(0.5)(0.5)(0.4)(1.0)
2nd_Sunak0.1-0.30.20.4-0.2
(0.9)(0.7)(0.8)(0.5)(0.8)
2nd_Mordaunt1.71.9+0.90.8-0.4-0.5
(0.2)(<0.1)(0.4)(0.5)(0.7)(0.7)
2nd_Johnson-2.4+-2.9**-1.5-1.4+-0.9-0.7-1.4+-0.5
(<0.1)(<0.1)(0.1)(<0.1)(0.4)(0.5)(<0.1)(0.6)
grp_onc-0.3-0.7-0.7-0.6-0.6-0.7
(0.5)(0.2)(0.2)(0.3)(0.2)(0.1)
grp_csg0.5-0.4-0.5-0.5-0.7
(0.7)(0.7)(0.6)(0.6)(0.5)
grp_erg0.90.80.50.60.00.1
(0.3)(0.2)(0.5)(0.5)(1.0)(0.9)
grp_fm0.30.81.10.51.11.12.0*1.7*
(0.7)(0.3)(0.1)(0.5)(0.2)(0.1)(<0.1)(<0.1)
grp_lvl_up0.00.10.10.3-0.4
(1.0)(0.9)(0.9)(0.6)(0.5)
grp_cen0.10.50.30.9-0.1
(0.9)(0.4)(0.6)(0.2)(0.9)
grp_crg-0.2-0.4-1.1-1.2-1.1-1.5*
(0.8)(0.6)(0.2)(0.2)(0.2)(<0.1)
has_greenbelt-0.10.40.30.40.6
(0.9)(0.4)(0.5)(0.5)(0.3)
Num.Obs.94949494949494949494
AIC144.0116.3146.6122.0147.7120.6149.9124.4143.8118.3
BIC205.1136.7207.6134.7208.7133.4211.0137.1204.9138.6
Log.Lik.-48.020-50.165-49.301-55.981-49.834-55.321-50.964-57.200-47.913-51.143
RMSE0.410.420.420.460.420.450.430.460.410.43
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001