Write a 1- to 2-page analysis of your multiple regression results, addressing each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be
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Output Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>GET FILE='C:UserslenovoDesktopTTs030816_26182_6951.sav'. DATASET NAME DataSet1 WINDOW=FRONT. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS BCOV R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT INFRASTRUCTURE /METHOD=ENTER ADULT_CT /RESIDUALS NORMPROB(ZRESID) /SAVE ZPRED ZRESID.
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Observed Cum Prob Expected Cum Prob Normal P-P Plot of Regression Standardized Residual Dependent Variable: Infrastructure Index (higher scores=greater infrastructure)
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Output Regression Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Regression Notes 00000000011_lightNotesData.bin Active Dataset <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>[DataSet1] C:UserslenovoDesktopTTs030816_26182_6951.sav Variables Entered/Removed 00000000013_lightTableData.bin Model Summary 00000000014_lightTableData.bin ANOVA 00000000015_lightTableData.bin Coefficients 00000000016_lightTableData.bin Coefficient Correlations 00000000017_lightTableData.bin Residuals Statistics 00000000018_lightTableData.bin Charts Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Charts *zresid Normal P-P Plot 000000000191_-4091977457186608888_chartData.bin 000000000191_-4091977457186608888_chart.xml
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