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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/RemovedaVariables 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_x1b . Enter
a. Dependent Variable: Weight_gain_y
b. All requested variables entered.
Regression
Regression - Model Summary - December 5, 2022
Model SummarybModel 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
R Square Change F Change df1 df2 Sig. F Change
1 .939a .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
ANOVAaANOVA, 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 .005b
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
CoefficientsaCoefficients, 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
B Std. Error Beta 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 StatisticsaResiduals 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
*zresid Normal P-P Plot Observed Cum Prob: 0 Expected Cum Prob: 0 Observed Cum Prob: 0.9242 Expected Cum Prob: 0.9208 Observed Cum Prob: 0.8030 Expected Cum Prob: 0.7531 Observed Cum Prob: 0.6818 Expected Cum Prob: 0.7427 Observed Cum Prob: 0.5606 Expected Cum Prob: 0.4607 Observed Cum Prob: 0.4394 Expected Cum Prob: 0.3787 Observed Cum Prob: 0.3182 Expected Cum Prob: 0.3220 Observed Cum Prob: 0.1970 Expected Cum Prob: 0.2116 Observed Cum Prob: 0.0758 Expected Cum Prob: 0.1410 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0

Charts
Charts - Weight_gain_y by Initial_Weight_in_pounds_x1 Partial Regression Plot - December 5, 2022
Weight_gain_y by Initial_Weight_in_pounds_x1 Partial Regression Plot Initial_Weight_in_pounds_x1: 10.025 Weight_gain_y: .2508 Initial_Weight_in_pounds_x1: -20.219 Weight_gain_y: -3.1944 Initial_Weight_in_pounds_x1: -10.138 Weight_gain_y: -.3793 Initial_Weight_in_pounds_x1: 15.618 Weight_gain_y: 1.1755 Initial_Weight_in_pounds_x1: .373 Weight_gain_y: -.2696 Initial_Weight_in_pounds_x1: 3.7806 Weight_gain_y: 1.8056 Initial_Weight_in_pounds_x1: 6.8621 Weight_gain_y: .6207 Initial_Weight_in_pounds_x1: -6.3009 Weight_gain_y: -.0094 -4 -3 -2 -1 0 1 2 -30 -20 -10 0 10 20

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Charts
Charts - Weight_gain_y by Initial_age_in_weeks_x2 Partial Regression Plot - December 5, 2022
Weight_gain_y by Initial_age_in_weeks_x2 Partial Regression Plot Initial_age_in_weeks_x2: -3.4081 Weight_gain_y: -3.5488 Initial_age_in_weeks_x2: -.3063 Weight_gain_y: -1.3217 Initial_age_in_weeks_x2: -1.3402 Weight_gain_y: -.3974 Initial_age_in_weeks_x2: 1.5715 Weight_gain_y: .8057 Initial_age_in_weeks_x2: 4.6225 Weight_gain_y: 3.4193 Initial_age_in_weeks_x2: -.3877 Weight_gain_y: 1.0966 Initial_age_in_weeks_x2: -1.3979 Weight_gain_y: -1.2261 Initial_age_in_weeks_x2: .6462 Weight_gain_y: 1.1723 -4 -2 0 2 4 -4 -2 0 2 4 6

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