TAILIEUCHUNG - Ebook Business statistics (7th edition): Part 2

(BQ) Part 2 book "Business statistics" has contents: Simple linear regression and correlation, multiple regression, time series, forecasting, and index numbers, quality control and improvement, bayesian statistics and decision analysis, sampling methods, multivariate analysis,.and other contents. | 410 1 1 1 1 1 Aczel−Sounderpandian: Complete Business Statistics, Seventh Edition 10. Simple Linear Regression and Correlation 10 1 Text © The McGraw−Hill Companies, 2009 SIMPLE LINEAR REGRESSION AND CORRELATION 10–1 10–2 10–3 10–4 1 1 1 1 1 Using Statistics 409 The Simple Linear Regression Model 411 Estimation: The Method of Least Squares 414 Error Variance and the Standard Errors of Regression Estimators 424 10–5 Correlation 429 10–6 Hypothesis Tests about the Regression Relationship 434 10–7 How Good Is the Regression? 438 10–8 Analysis-of-Variance Table and an F Test of the Regression Model 443 10–9 Residual Analysis and Checking for Model Inadequacies 445 10–10 Use of the Regression Model for Prediction 454 10–11 Using the Computer 458 10–12 Summary and Review of Terms 464 Case 13 Firm Leverage and Shareholder Rights 466 Case 14 Risk and Return 467 LEARNING OBJECTIVES 408 After studying this chapter, you should be able to: • Determine whether a regression experiment would be useful in a given instance. • Formulate a regression model. • Compute a regression equation. • Compute the covariance and the correlation coefficient of two random variables. • Compute confidence intervals for regression coefficients. • Compute a prediction interval for a dependent variable. • Test hypotheses about regression coefficients. • Conduct an ANOVA experiment using regression results. • Analyze residuals to check the validity of assumptions about the regression model. • Solve regression problems using spreadsheet templates. • Use the LINEST function to carry out a regression. 1 1 1 1 1 Aczel−Sounderpandian: Complete Business Statistics, Seventh Edition 10. Simple Linear Regression and Correlation Text 10–1 Using Statistics In 1855, a 33-year-old Englishman settled down to a life of leisure in London after several years of travel throughout Europe and Africa. The boredom brought about by a comfortable life induced him

• Kinh tế học
• Business statistics
• Simple linear regression
• Multiple regression
• Time series
• Decision analysis
• Sampling methods
• Multivariate analysis
• Bayesian statistics
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Descriptive statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Business statistics in practice
• Data sources
• Statistical inference
• Illustrate sampling
• Graphical methods
• Tabular methods
• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
• Sample spaces
• Elementary probability rules
• Compute conditional probabilities
• Discrete random variables
• Discrete probability distributions
• Binomial distribution
• Continuous random variables
• Continuous probability distributions
• Uniform distribution
• Sampling distributions
• Random sampling
• Stratified random
• Confidence intervals
• Sample size determination
• Hypothesis testing
• Alternative hypotheses
• Sampling distribution
• Equal variance
• Statistical inferences
• Population variances
• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
• Chi square goodness of fit tests
• Multinomial experiment
• Simple linear regression analysis
• Simple linear regression model
• Model assumptions
• Least squares point estimate
• Multiple regression model
• Times series forecasting
• Index numbers
• Forecast error comparisons
• Statistical process control
• Causes of variation
• Control charts
• Nonparametric methods
• Hypothesis test
• Decision theory
• Utility theory
• Posterior probabilities