Statistics - SPSS Projects

Sum of Squares df Mean Squares F Sig Regression Residual Total 231.539 29.782 261.321 1 111 112 231.539

	Sum of Squares	df	Mean Squares	F	Sig
Regression Residual Total	231.539 29.782 261.321	1 111 112	231.539 .268	862.968	.000 ^a
Regression Residual Total	232.608 28.713 261.321	2 110 112	116.304 .261	445.561	.000 ^b

ANOVA

a predictors (constant) LNPHONE

b predictors (constant)LNPHONE, BIRTHRAT

c dependent variable: LNGDP

Coefficients ²

	Unstandardized coefficients		Standardized coefficients	T	Sig.	corelations			Collinarity statistics
	B	Std.error	beta	Zero order	Sig.	partial	part	tolerance	VIF
(constant LNPHONE	6.389 .738	.058 .025	.941	110.662 29.376	.000 .000	.941	.941	.941	1.000	1.000
(constant) LNPHONE BIRTHRAT	6.878 .663 -1.29e-02	.248 .044 .006	.849 -.113	27.744 15.238 -2.024	.000 .000 .045	.941 -.811	.824 -.189	.482 -.064	.322 .322	3.104 3.104

Dependent variable: LNGDP

Excluded variables

	Beta In	T	Sig.	Partial Correlation	Collinarity Statistics
	Beta In	T	Sig.	Partial Correlation	Tolerance	VIF	Minimum Tolerance
URBAN BIRTHRAT LNRADIO	.095 ^a -.113 ^a .026 ^a	1.901 -2.024 .557	.060 .045 .579	.178 -.189 .053	.404 .322 .461	2.475 3.104 2.171	.404 .322 .461
URBAN LNRADIO	.091 ^b .021 ^b	1.848 .455	.067 .650	.174 .044	.403 .459	2.479 2.178	.225 .243

Predictors in the model (constant) LNPHONE

Predictors in the model(constant)LNPHONE,BIRTHRAT

Dependent Variable LNGDP

Evaluate the following statistics, is multicollinearity a problem?
What variables create the model to predict lngdp ? Explain
Is the model significant in predicting lngdp ? Explain
What percentage of variance in lngdp is explained by the model?
Write the regression equation for lngdp

Price: $6.78

Solution: The downloadable solution consists of 4 pages, 278 words.
Deliverable: Word Document

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