TAILIEUCHUNG - 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. | Chapter 13 Linear Regression and Correlation When you have completed this chapter, you will be able to: Chapter Goals 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. 1. 2. 3. 4. 13 13 - Identify the roles of dependent and independent variables, the concept of regression, and its distinction from the concept of correlation. Chapter Goals Conduct a test of hypothesis for a regression model and each coefficient of regression. 6. 7. 8. 13 Conduct analysis of variance and calculate coefficient of determination. Estimate confidence and prediction intervals 5. 13 - Measure and interpret the strength of relationship between two variables through a regression line and the technique of least squares. Terminology is a chart that portrays the relationship between the two variables. Scatter Diagram .

• Kinh tế học
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• Linear regression
• Coefficient of correlation
• Statistical inference
• Independent samples
• Statistical process control
• Quality management
• Random observation
• Sampling methods
• Central limit theorem
• Confidence intervals
• Point estimator
• Confidence interval
• Hypothesis testing
• Alternative hypothesis
• Analysis of variance
• F distribution
• Multiple regression
• Multiple regression analysis
• Chi square applications
• Test of hypothesis
• Analysis of ranked data
• Kruskal Wallis test
• Index numbers
• Consumer price index
• Time series
• Linear trend equation
• Decision making
• Organize information
• The role of statistics
• Qualitative variable
• Describing data
• Frequency distribution
• Central tendency
• Standard deviation
• Ungrouped data
• Probability concepts
• Random experiment
• Discrete probability distributions
• Continuous random variables
• Decision theory
• Decision alternative
• Inferential statistics
• Frequency tables
• Numerical measures