Linear Regression

Model Fit Measures
						Overall Model Test
Model		R		R²		F		df1		df2		p
1		0.390		0.152		208		1		1158		< .001

Omnibus ANOVA Test
		Sum of Squares		df		Mean Square		F		p
kerokan		24643		1		24643		208		< .001
Residuals		137055		1158		118
Note. Type 3 sum of squares

[3]

Model Coefficients
						95% Confidence Interval										95% Confidence Interval
Predictor		Estimate		SE		Lower		Upper		t		p		Stand. Estimate		Lower		Upper
Intercept		35.65		1.4906		32.73		38.57		23.9		< .001
kerokan		1.16		0.0806		1.00		1.32		14.4		< .001		0.390		NaN		NaN

Data Summary

Cook's Distance
						Range
Mean		Median		SD		Min		Max
8.98e-4		2.93e-4		0.00195		1.91e-8		0.0366

Assumption Checks

Q-Q Plot

Residuals Plots

Linear Regression

Model Fit Measures
										Overall Model Test
Model		R		R²		AIC		BIC		F		df1		df2		p
1		0.390		0.152		8833		8849		208		1		1158		< .001
2		0.715		0.511		8197		8217		605		2		1157		< .001

Model Comparisons
Comparison
Model				Model		ΔR²		F		df1		df2		p
1		-		2		0.359		849		1		1157		< .001

Model Specific ResultsModel 1Model 2

Omnibus ANOVA Test
		Sum of Squares		df		Mean Square		F		p
kerokan		24643		1		24643		208		< .001
Residuals		137055		1158		118
Note. Type 3 sum of squares

[3]

Model Coefficients
						95% Confidence Interval
Predictor		Estimate		SE		Lower		Upper		t		p		Stand. Estimate
Intercept		35.65		1.4906		32.73		38.57		23.9		< .001
kerokan		1.16		0.0806		1.00		1.32		14.4		< .001		0.390

Data Summary

Cook's Distance
						Range
Mean		Median		SD		Min		Max
8.98e-4		2.93e-4		0.00195		1.91e-8		0.0366

Assumption Checks

Collinearity Statistics
		VIF		Tolerance
kerokan		1.00		1.00

[3]

Q-Q Plot

Residuals Plots

Omnibus ANOVA Test
		Sum of Squares		df		Mean Square		F		p
kerokan		18660		1		18660.4		273		< .001
merah		58015		1		58015.3		849		< .001
Residuals		79040		1157		68.3
Note. Type 3 sum of squares

[3]

Model Coefficients
						95% Confidence Interval
Predictor		Estimate		SE		Lower		Upper		t		p		Stand. Estimate
Intercept		-1.013		1.6927		-4.334		2.308		-0.598		0.550
kerokan		1.015		0.0614		0.894		1.135		16.527		< .001		0.341
merah		0.716		0.0246		0.668		0.764		29.142		< .001		0.601

Data Summary

Cook's Distance
						Range
Mean		Median		SD		Min		Max
8.82e-4		3.01e-4		0.00164		1.60e-11		0.0181

Assumption Checks

Collinearity Statistics
		VIF		Tolerance
kerokan		1.01		0.993
merah		1.01		0.993

[3]

Q-Q Plot

Residuals Plots

References

[1] The jamovi project (2019). jamovi. (Version 0.9) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2018). R: A Language and envionment for statistical computing. [Computer software]. Retrieved from https://cran.r-project.org/.

[3] Fox, J., & Weisberg, S. (2018). car: Companion to Applied Regression. [R package]. Retrieved from https://cran.r-project.org/package=car.