# Interpreting regression statistics

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• ### Credit risk modeling using Excel and VBA

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• ### Lecture Statistical techniques in business and economics - Chapter 13: Linear regression and correlation

Chapter 13 - Linear regression and correlation, after studying this chapter you will be able to: Identify a relationship between variables on a scatter diagram, measure and interpret a degree of relationship by a coefficient of correlation, conduct a test of hypothesis about the coefficient of correlation in a population,...and other contents.

• ### Lecture Business statistics in practice (7/e): Chapter 15 - Bowerman, O'Connell, Murphree

Chapter 15 - Multiple regression and model building. After mastering the material in this chapter, you will be able to: Explain the multiple regression model and the related least squares point estimates, explain the assumptions behind multiple regression and calculate the standard error, calculate and interpret the multiple and adjusted multiple coefficients of determination,...

• ### Lecture Basic statistics for business & economics (8/e): Chapter 13 – Lind, Marchal, Wathen

Chapter 13 - Correlation and linear regression. When you have completed this chapter, you will be able to: Understand and interpret the terms dependent and independent variable; calculate and interpret the coefficient of correlation, the coefficient of determination, and the standard error of estimate; conduct a test of hypothesis to determine whether the coefficient of correlation in the population is zero.

• ### Lecture Basic statistics for business & economics (8/e): Chapter 14 – Lind, Marchal, Wathen

Chapter 14 - Multiple regression analysis. This chapter include objectives: Describe the relationship between several independent variables and a dependent variable using multiple regression analysis; set up, interpret, and apply an ANOVA table compute and interpret the multiple standard error of estimate, the coefficient of multiple determination, and the adjusted coefficient of multiple determination.

• ### Lecture Statistical techniques in business and economics (14/e): Chapter 13 - Lind, Marchal, Wathen

Chapter 13 - Linear regression and correlation. When you have completed this chapter, you will be able to: Understand and interpret the terms dependent and independent variable; calculate and interpret the coefficient of correlation, the coefficient of determination, and the standard error of estimate; conduct a test of hypothesis to determine whether the coefficient of correlation in the population is zero;...

• ### Lecture Statistical techniques in business and economics (14/e): Chapter 14 - Lind, Marchal, Wathen

Chapter 14 - Multiple regressions and correlation analysis. In this chapter, the learning objectives are: Describe the relationship between several independent variables and a dependent variable using multiple regression analysis; set up, interpret, and apply an ANOVA table compute and interpret the multiple standard error of estimate, the coefficient of multiple determination, and the adjusted coefficient of multiple determination; conduct a test of hypothesis to determine whether regression coefficients differ from zero;...

• ### Lecture Basic statistics for business and economics - Chapter 13: Correlation and linear regression

Chapter 13: Correlation and linear regression. When you have completed this chapter, you will be able to: Define the terms dependent variable and independent variable; calculate, test, and interpret the relationship between two variables using the correlation coefficient; apply regression analysis to estimate the linear relationship between two variables;...

• ### Lecture Basic statistics for business and economics - Chapter 14: Multiple regression analysis

Lecture Basic statistics for business and economics - Chapter 14: Multiple regression analysis. After completing this chapter, students will be able to: Describe the relationship between several independent variables and a dependent variable using multiple regression analysis, develop and interpret an ANOVA table, compute and interpret measures of association in multiple regression,...