output

Log
Log - Log - December 5, 2022

REGRESSION
/DESCRIPTIVES MEAN STDDEV CORR SIG N
/MISSING LISTWISE
/STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Weight_gain_y
/METHOD=ENTER Initial_Weight_in_pounds_x1 Initial_age_in_weeks_x2
/PARTIALPLOT ALL
/RESIDUALS NORMPROB(ZRESID)
/SAVE PRED RESID.

Regression
Regression - Active Dataset - December 5, 2022

[DataSet0]

Regression
Regression - Descriptive Statistics - December 5, 2022

Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 5 rows
	Mean	Std. Deviation	N
Weight_gain_y	6.50	2.449	8
Initial_Weight_in_pounds_x1	45.25	11.696	8
Initial_age_in_weeks_x2	7.38	2.387	8

Regression
Regression - Correlations - December 5, 2022

CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 5 columns and 11 rows
		Weight_gain_y	Initial_Weight_in_pounds_x1	Initial_age_in_weeks_x2
Pearson Correlation	Weight_gain_y	1.000	.514	.794
	Initial_Weight_in_pounds_x1	.514	1.000	.017
	Initial_age_in_weeks_x2	.794	.017	1.000
Sig. (1-tailed)	Weight_gain_y	.	.096	.009
	Initial_Weight_in_pounds_x1	.096	.	.484
	Initial_age_in_weeks_x2	.009	.484	.
N	Weight_gain_y	8	8	8
	Initial_Weight_in_pounds_x1	8	8	8
	Initial_age_in_weeks_x2	8	8	8

Regression
Regression - Variables Entered/Removed - December 5, 2022

Variables Entered/Removed^aVariables Entered/Removed, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 5 rows
Model	Variables Entered	Variables Removed	Method
1	Initial_age_in_weeks_x2, Initial_Weight_in_pounds_x1^b	.	Enter
a. Dependent Variable: Weight_gain_y
b. All requested variables entered.

Regression
Regression - Model Summary - December 5, 2022

Model Summary^bModel Summary, table, 2 levels of column headers and 1 levels of row headers, table with 10 columns and 6 rows
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Change Statistics
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	R Square Change	F Change	df1	df2	Sig. F Change
1	.939^a	.881	.834	.999	.881	18.539	2	5	.005
a. Predictors: (Constant), Initial_age_in_weeks_x2, Initial_Weight_in_pounds_x1
b. Dependent Variable: Weight_gain_y

Regression
Regression - ANOVA - December 5, 2022

ANOVA^aANOVA, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 7 rows
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	37.009	2	18.505	18.539	.005^b
	Residual	4.991	5	.998
	Total	42.000	7
a. Dependent Variable: Weight_gain_y
b. Predictors: (Constant), Initial_age_in_weeks_x2, Initial_Weight_in_pounds_x1

Regression
Regression - Coefficients - December 5, 2022

Coefficients^aCoefficients, table, 2 levels of column headers and 2 levels of row headers, table with 12 columns and 7 rows
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Correlations
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Zero-order	Partial	Part
1	(Constant)	-4.192	1.888		-2.220	.077	-9.045	.662
	Initial_Weight_in_pounds_x1	.105	.032	.501	3.247	.023	.022	.188	.514	.824	.500
	Initial_age_in_weeks_x2	.807	.158	.786	5.097	.004	.400	1.213	.794	.916	.786
a. Dependent Variable: Weight_gain_y

Regression
Regression - Residuals Statistics - December 5, 2022

Residuals Statistics^aResiduals Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 7 rows
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	4.07	10.31	6.50	2.299	8
Residual	-1.075	1.409	.000	.844	8
Std. Predicted Value	-1.055	1.656	.000	1.000	8
Std. Residual	-1.076	1.411	.000	.845	8
a. Dependent Variable: Weight_gain_y

Charts
Charts - *zresid Normal P-P Plot - December 5, 2022

Charts
Charts - Weight_gain_y by Initial_Weight_in_pounds_x1 Partial Regression Plot - December 5, 2022

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Charts
Charts - Weight_gain_y by Initial_age_in_weeks_x2 Partial Regression Plot - December 5, 2022

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