Results

Linear Regression

Model Summary - Ln_observed
Model		R		R²		Adjusted R²		RMSE		R² Change		F Change		df1		df2		p
M₀		0.000		0.000		0.000		0.691		0.000				0		199
M₁		1.000		1.000		1.000		6.577×10^-15		1.000		∞		3		196		< .001

Note. M₁ includes Training, Dance, Training:Dance

ANOVA
Model				Sum of Squares		df		Mean Square		F		p
M₁		Regression		95.032		3		31.677		7.323×10⁺²⁹		< .001
		Residual		8.478×10^-27		196		4.326×10^-29
		Total		95.032		199

Note. M₁ includes Training, Dance, Training:Dance
Note. The intercept model is omitted, as no meaningful information can be shown.

Coefficients
Model				Unstandardized		Standard Error		Standardizedᵃ		t		p
M₀		(Intercept)		4.210		0.049				86.164		< .001
M₁		(Intercept)		2.303		2.080×10^-15				1.107×10⁺¹⁵		< .001
		Training (Affection as reward)		2.434		2.169×10^-15				1.122×10⁺¹⁵		< .001
		Dance (yes)		1.030		2.423×10^-15				4.250×10⁺¹⁴		< .001
		Training (Affection as reward) ✻ Dance (yes)		-1.895		2.674×10^-15				-7.085×10⁺¹⁴		< .001

ᵃ Standardized coefficients can only be computed for continuous predictors.

Linear Regression: Expected

Model Summary - Ln_expected
Model		R		R²		Adjusted R²		RMSE
M₀		0.000		0.000		0.000		0.692
M₁		1.000		1.000		1.000		1.334×10^-14

Note. M₁ includes Training, Dance

ANOVA
Model				Sum of Squares		df		Mean Square		F		p
M₁		Regression		95.260		2		47.630		2.677×10⁺²⁹		< .001
		Residual		3.505×10^-26		197		1.779×10^-28
		Total		95.260		199

Note. M₁ includes Training, Dance
Note. The intercept model is omitted, as no meaningful information can be shown.

Coefficients
Model				Unstandardized		Standard Error		Standardizedᵃ		t		p
M₀		(Intercept)		4.148		0.049				84.787		< .001
M₁		(Intercept)		3.160		2.652×10^-15				1.192×10⁺¹⁵		< .001
		Training (Affection as reward)		1.450		2.573×10^-15				5.636×10⁺¹⁴		< .001
		Dance (yes)		-0.490		2.080×10^-15				-2.354×10⁺¹⁴		< .001

ᵃ Standardized coefficients can only be computed for continuous predictors.

Contingency Tables

Contingency Tables
				Dance
Training				no		yes		Total
Food as reward		Count		10.000		28.000		38.000
		Expected count		23.560		14.440		38.000
		% within row		26.316 %		73.684 %		100.000 %
		% within column		8.065 %		36.842 %		19.000 %
		% of total		5.000 %		14.000 %		19.000 %
Affection as reward		Count		114.000		48.000		162.000
		Expected count		100.440		61.560		162.000
		% within row		70.370 %		29.630 %		100.000 %
		% within column		91.935 %		63.158 %		81.000 %
		% of total		57.000 %		24.000 %		81.000 %
Total		Count		124.000		76.000		200.000
		Expected count		124.000		76.000		200.000
		% within row		62.000 %		38.000 %		100.000 %
		% within column		100.000 %		100.000 %		100.000 %
		% of total		62.000 %		38.000 %		100.000 %

Chi-Squared Tests
		Value		df		p
Χ²		25.356		1		< .001
Χ² continuity correction		23.520		1		< .001
N		200

Log Odds Ratio
				95% Confidence Intervals
		Log Odds Ratio		Lower		Upper		p
Odds ratio		-1.895		-2.692		-1.098
Fisher's exact test		-1.884		-2.799		-1.043		< .001

Nominal
		Value
Contingency coefficient		0.335
Phi-coefficient		-0.356
Cramer's V		0.356
Lambda (rows)		0.237
Lambda (columns)		0.000
Lambda (symmetric)		0.118

Kendall's Tau
Kendall's Tau-b		Z		p
-0.356		-5.023		< .001