1.Explain the purpose of the analysis above (2M)2.Briefly explain the similarities and differences of this statistical method and the correlation statistical method (4M)3.State and describe the types of variable involved in this analysis (3M)4.Develop the null hypothesis of this study (3M)5.Explain the decision to test your hypothesis that you developed above using appropriate level of significance testing (5M)6.Write the regression equation of the findings of this study (3M)

Please answer the question below based on the following output. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 027 001 -.011 11.28166 a. Predictors: (Constant), Pengetahuan ANOVA Mode Sum of Squares df Mean Square F Sig Regression 7.584 7.584 060 .808 Residual 10691.172 84 127.276 Total 10698.756 85 a. Dependent Variable: Communication b. Predictors: (Constant), Knowledge Coefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig (Constant) 82.687 7.152 11.561 000 knowledge 040 163 027 .244 808 a. Dependent Variable: Communication