This assignment delves into regression analysis and its interpretation, focusing on the analysis of a dataset related to mental health and depression. The student analyzes the correlation between variables like age at first birth, physical health score, mental health score, and CESD score using a correlation matrix. The assignment includes the calculation and interpretation of R-squared, ANOVA, and regression coefficients. The student performs a regression analysis, assessing the significance of independent variables in predicting the CESD score, and discusses the implications of the model's fit, including the impact of physical and mental health scores on depression. The document also includes a discussion of multicollinearity and provides a regression equation for predicting CESD scores based on the independent variables. The student uses SPSS to perform the analysis, and the assignment concludes with cited references.