Question

1. Can you be 95% confident that your independent variables are explaining variance in the dependent variable among the population?
2. Can you be 99% confident that your independent variables are explaining variance in the dependent variable among the population

Model Summary (Number of children)

	R	R Square	Adjusted R Square	Std. Error of the Estimate
	.28	.08	.07	1.39

ANOVA (Number of children)

		Sum of Squares	df	Mean Square	F	Sig.
	Regression	99.37	4	24.84	12.87	.000
	Residual	1163.52	603	1.93
	Total	1262.89	607

Coefficients (Number of children)

		Unstandardized Coefficients		Standardized Coefficients			95% Confidence Interval for B
		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound
	(Constant)	.58	7294153.92	.00	.00	1.000	-14325031.14	14325032.29
	Year of birth	.00	3618.13	.00	.00	1.000	-7105.67	7105.67
	Age of respondent	.03	3618.13	.27	.00	1.000	-7105.64	7105.70
	General happiness	.17	.10	.07	1.78	.076	-.02	.37
	Respondents sex	-.14	.11	-.05	-1.20	.230	-.36	.09

Coefficient Correlations (Number of children)

Model		Year of birth	Age of respondent	General happiness	Respondents sex
	Covariances	Age of respondent	13090878.47	13090878.47	.00
		General happiness	13090878.47	13090878.47	.00
		Respondents sex	.00	.00	.01

Model Summary (Respondents income)

	R	R Square	Adjusted R Square	Std. Error of the Estimate
	.27	.07	.06	5.41

ANOVA (Respondents income)

		Sum of Squares	df	Mean Square	F	Sig.
	Regression	1336.59	4	334.15	11.44	.000
	Residual	17619.40	603	29.22
	Total	18955.99	607

Coefficients (Respondents income)

		Unstandardized Coefficients		Standardized Coefficients			95% Confidence Interval for B
		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound
	(Constant)	47.84	28384680.13	.00	.00	1.000	-55744792.19	55744887.87
	Year of birth	-.01	14079.70	-.03	.00	1.000	-27651.22	27651.20
	Age of respondent	.00	14079.70	.00	.00	1.000	-27651.21	27651.21
	General happiness	-1.16	.38	-.12	-3.03	.003	-1.90	-.41
	Respondents sex	-2.66	.44	-.24	-6.06	.000	-3.52	-1.80

Coefficient Correlations (Respondents income)

Model		Year of birth	Age of respondent	General happiness	Respondents sex
	Covariances	Age of respondent	198238020.98	198238020.98	.00
		General happiness	198238020.98	198238020.98	.00
		Respondents sex	.00	.00	.15

Model Summary (Spouse's highest degree)

	R	R Square	Adjusted R Square	Std. Error of the Estimate
	.17	.03	.02	1.58

ANOVA (Spouse's highest degree)

		Sum of Squares	df	Mean Square	F	Sig.
	Regression	43.78	4	10.95	4.40	.002
	Residual	1501.69	603	2.49
	Total	1545.47	607

Coefficients (Spouse's highest degree)

		Unstandardized Coefficients		Standardized Coefficients			95% Confidence Interval for B
		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound
	(Constant)	.38	8286643.39	.00	.00	1.000	-16274187.25	16274188.00
	Year of birth	.00	4110.44	.00	.00	1.000	-8072.51	8072.51
	Age of respondent	.02	4110.44	.17	.00	1.000	-8072.49	8072.53
	General happiness	.00	.11	.00	.02	.987	-.22	.22
	Respondents sex	-.07	.13	-.02	-.52	.606	-.32	.19

Coefficient Correlations (Spouse's highest degree)

Model		Year of birth	Age of respondent	General happiness	Respondents sex
	Covariances	Age of respondent	16895702.12	16895702.12	.00
		General happiness	16895702.12	16895702.12	.00
		Respondents sex	.00	.00	.01

Model Summary (Abortion if woman wants for any reason)

	R	R Square	Adjusted R Square	Std. Error of the Estimate
	.05	.00	.00	.50

ANOVA (Abortion if woman wants for any reason)

		Sum of Squares	df	Mean Square	F	Sig.
	Regression	.40	4	.10	.40	.809
	Residual	150.80	603	.25
	Total	151.20	607

Coefficients (Abortion if woman wants for any reason)

		Unstandardized Coefficients		Standardized Coefficients			95% Confidence Interval for B
		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound
	(Constant)	.45	2626004.47	.00	.00	1.000	-5157225.15	5157226.05
	Year of birth	.00	1302.58	.02	.00	1.000	-2558.15	2558.15
	Age of respondent	.00	1302.58	-.01	.00	1.000	-2558.15	2558.15
	General happiness	-.02	.04	-.03	-.66	.510	-.09	.05
	Respondents sex	-.03	.04	-.03	-.82	.411	-.11	.05

Coefficient Correlations (Abortion if woman wants for any reason)

Model		Year of birth	Age of respondent	General happiness	Respondents sex
	Covariances	Age of respondent	1696718.78	1696718.78	.00
		General happiness	1696718.78	1696718.78	.00
		Respondents sex	.00	.00	.00

Answer 1

1. Can you be 95% confident that your independent variables are explaining variance in the dependent variable among the population?

The hypothesis being tested is:

H0: β1 = β2 = β3 = 0

H1: At least one βi ≠ 0

The p-value is 0.000.

Since the p-value (0.000) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that the model is significant.

Thus, we can be 95% confident that your independent variables are explaining variance in the dependent variable among the population.

1. Can you be 99% confident that your independent variables are explaining variance in the dependent variable among the population

The hypothesis being tested is:

H0: β1 = β2 = β3 = 0

H1: At least one βi ≠ 0

The p-value is 0.000.

Since the p-value (0.000) is less than the significance level (0.01), we can reject the null hypothesis.

Therefore, we can conclude that the model is significant.

Thus, we can be 99% confident that your independent variables are explaining variance in the dependent variable among the population.