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A.) Use the values in the output to write the regression equation Y=a+b(X)B.) in the output, identify the intercept. C.) identify and interpret the slope

A.) Use the values in the output to write the regression equation Y=a+b(X)B.) in the output, identify the intercept. C.) identify and interpret the slope in a full sentence.D.) identify interpret the value of r2E.) Do the regression results suggest that there is a significant relationship between these two variables? Explain

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Transform Insert Format Analyze Graphs Utilities Extensions Window Help NOORIGIN i-Squa /DEPENDENT AGE des dar /METHOD=ENTER PRESTG10. tle rosstab hi-Squat Regression Variables Entered/Removed Process Variables Variables b securi Model Entered Removed Method itle R'S Enter Crosstab occupational Chi-Squat prestige Symmetric score (2010) dence in a. Dependent Variable: Age of respondent Title Crosstab b. All requested variable's entered Chi-Squa Symmetric cides dar Model Summary Title Adjusted R Std. Error of Crosstab Model R R Square Square the Estimate Chi-Squa Symmetric 118 014 014 17.573 a. Predictors: (Constant), R's occupational prestige score (2010) e Process ANOVA job securi Title Sum of Crosstab Model Squares df Mean Square Sig. Chi-Squat Regression 9789.807 9789.807 31.701 000 Symmetric Residual 691447.637 2239 308.820 fidence in Title Total 701237.444 2240 Crosstab a. Dependent Variable: Age of respondent Chi-Squal b. Predictors: (Constant), R's occupational prestige score (2010) Symmetric sticides dar Title Coefficients Crosstab Chi-Squal Standardized Symmetric Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig sion (Constant) 12.675 1.271 33.577 000 tes R's occupational prestige 153 027 118 5.630 000 iables Ente score (2010) del Summa a. Dependent Variable: Age of respondent IOVA efficients here to search O

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