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What can you conclude from this analysis? Linear regression birth weight vs mom's weight Unit 7 Assignment 6 output.spv [Document1] - IBM SPSS Statistics Viewer

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What can you conclude from this analysis?

Linear regression birth weight vs mom's weight

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Unit 7 Assignment 6 output.spv [Document1] - IBM SPSS Statistics Viewer - 0 X File Edit View Data a Transform Insert Format Analyze Graphs Utilities Extensions Window Help Q E Output Regression b. All requested variables entered. Title Notes Descriptive Statistics Model Summary Correlations Adjusted R Std. Error of the Variables Entered/Re Model R R Square Square Estimate Model Summary 072 005 .004 229 ANOVA Coefficients a. Predictors: (Constant), momwgt, alcohol2, smoke2 Regression Title i Notes ANOVA Descriptive Statistics Sum of Correlations Model Squares Mean Square F Sig Variables Entered/Re Regression 531 3 177 3.363 018 Model Summary Residual 102.380 1947 053 ANOVA Total Coefficients 102.910 1950 Logistic Regression a. Dependent Variable: Ibw2 Notes b. Predictors: (Constant), momwgt, alcohol2, smoke2 Block 0: Beginning Bl Block 1: Method = Ent Logistic Regression Coefficients Title Standardized Lee Notes Unstandardized Coefficients Coefficients Case Processing Sur Mode B Std. Error Beta Dependent Variable E Sig. Block 0: Beginning Blo (Constant) 1.890 165 11.475 :,001 Title smoke 2 075 081 021 923 356 Classification Ta alcohol2 .003 012 -.006 .282 778 Variables in the E momwgt -.001 000 069 -3.047 .002 Variables not in ti a. Dependent Variable: Ibw2 . Block 1: Method = Ent Title 19"C OLOD O WE ENG 14:22 Sunny US 2022/06/19 1Unit 7 Assignment 6 output.spv [Document1] - IBM SPSS Statistics Viewer - 0 X File Edit View Data Transform Insert Format Analyze Graphs Utilities Extensions Window Help BE Output .. Regression Model Summary en Title Adjusted R Std. Error of the Notes Model R R Square Square Estimate Descriptive Stati 250 062 062 511.547 Correlations Variables Entere a. Predictors: (Constant), momwgt Model Summary ANOVA Coefficients ANOVA Regression Sum of Title Model Squares df Mean Square F Sig. Notes Regression 37185952.876 1 37185952.876 142.104 ,001 Descriptive Stati Correlations Residual 559996650.62 2140 261680.678 Variables Entere Total 597182603.50 2141 Model Summary a. Dependent Variable: bwt ANOVA b. Predictors: (Constant), momwgt Coefficients . Logistic Regression Notes Coefficients = Block 0: Beginni Block 1: Method Standardized . Logistic Regression Unstandardized Coefficients Coefficients 95,0% Confidence Interval for B Title Model B Std. Error Beta Sig Lower Bound Upper Bound LES Notes (Constant) 2213.117 63.663 34.763

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