Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate 551 30 .302 2.491 a. Predictors: (Constant), Number words correct in vocabulary test, Highest year school completed, mother, Highest year school completed, father ANOVA Sum of Model Squares df Mean Square F Sig. Regression 2788.032 3 929.344 149.758 00ob Residual 6385.608 1029 6.206 Total 9173.640 1032 a. Dependent Variable: Highest year of school completed b. Predictors: (Constant), Number words correct in vocabulary test, Highest year school completed, mother, Highest year school completed, father Coefficients Standardized dized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 7.861 .308 25.486 .000 Highest year school 131 028 167 4.624 000 completed, mother Highest year school 175 026 242 6.684 000 completed, father Number words correct in 430 .041 .291 10.489 000 vas vocabulary test a. Dependent Variable: Highest year of school completed es Edit View Insert Format Tools Table 12pt Paragraph B U AV Q V T V QV BV BY BY a. The correlation coefficient, Pearsons R is PgUP FI DI F5 PrtSon Home End PgDn F12 F6 F7 F10 AX F4 F2 o A O 5 U O P E R T Y H KFor the regression below, answer the following questions. I would advise having a piece of paper and pencil ready to make it easier to make notes to yourself. The 3 independent variables are mothers years of schooling, fathers years of schooling, and score on the vocabulary test: a. Describe and Interpret the model summary (including significance) b. Describe and Interpret the regression coefficients (including significance) c. Identify, in rank order, which variables have the largest impact on the dependent variable and which has the smallest. Explain how you know this. d. The researcher believes that respondents who have fathers with higher years of education faced more intense pressure to succeed in school, and this led them to leave school earlier. Thus he believes that fathers education will be negatively related to education. Evaluate this hypothesis. e. Write out the regression equation for this regression. What is the predicted number of years of education for someone whose mother has 12 years of education, father has 12 years of education, and got 6 answers correct on the vocabulary score. Model Summary ton Adjusted R Std. Error of Model R R Square Square the Estimate ons 551 304 .302 2.491 ive a. Predictors: (Constant), Number words correct in vocabulary test, Highest year school completed, mother, Highest year school completed, father ANOVA for Canvas Sum of Model Squares df Mean Square F Sig Resources Regression 2788.032 929.344 149.758 000 Residual 6385.608 1029 6.206 Web Link Total 9173.640 1032 a. Dependent Variable: Highest year of school completed b. Predictors: (Constant), Number words correct in vocabulary test, Highest year school completed, mother, Highest year school completed, father