Question: 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

 What can you conclude from this analysis?Linear regression birth weight vs

What can you conclude from this analysis?

Linear regression birth weight vs mom's weight

mom's weight Unit 7 Assignment 6 output.spv [Document1] - IBM SPSS StatisticsViewer - 0 X File Edit View Data a Transform Insert FormatAnalyze Graphs Utilities Extensions Window Help Q E Output Regression b. All

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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