SESSION:B |
Mathematical Phrases, Symbols, and Formulas
Session:B | Mathematical Phrases, Symbols, and Formulas Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics English Phrases Written Mathematically When the English says: Interpret this as: X is at least 4. X ≥ 4 The minimum of X is 4. X ≥ […]
SESSION:A |
Statistical Tables
Session:A | Statistical Tables Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics F Distribution Figure A1 Table entry for p is the critical value F* with probability p lying to its right. Degrees of freedom in the numerator Degrees of freedom in the denominator p 1 […]
SESSION:13 Linear Regression and Correlation
Solutions
Session:13 Linear Regression and Correlation Solutions Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 1. d 2. A measure of the degree to which variation of one variable is related to variation in one or more other […]
SESSION:13 Linear Regression and Correlation
Practice
Session:13 Linear Regression and Correlation Practice Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 13.1 The Correlation Coefficient r 1. In order to have a correlation coefficient between traits A and B, it is necessary to have: one […]
SESSION:13 Linear Regression and Correlation
Chapter Review
Session:13 Linear Regression and Correlation Chapter Review Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 13.3 Linear Equations The most basic type of association is a linear association. This type of relationship can be defined algebraically by the […]
SESSION:13 Linear Regression and Correlation
Key Terms
Session:13 Linear Regression and Correlation Key Terms Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics a is the symbol for the Y-Intercept Sometimes written as b0 �0, because when writing the theoretical linear model β0 �0 is used to represent […]
SESSION:13 Linear Regression and Correlation
13.7 How to Use Microsoft Excel® for Regression Analysis
Session:13 Linear Regression and Correlation 13.7 How to Use Microsoft Excel® for Regression Analysis Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics This section of this chapter is here in recognition that what we are now asking […]
SESSION:13 Linear Regression and Correlation
13.6 Predicting with a Regression Equation
Session:13 Linear Regression and Correlation 13.6 Predicting with a Regression Equation Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics One important value of an estimated regression equation is its ability to predict the effects on Y of […]
SESSION:13 Linear Regression and Correlation
13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
Session:13 Linear Regression and Correlation 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics As we have seen, the coefficient of an equation estimated using OLS regression analysis provides […]
SESSION:13 Linear Regression and Correlation
13.4 The Regression Equation
Session:13 Linear Regression and Correlation 13.4 The Regression Equation Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Regression analysis is a statistical technique that can test the hypothesis that a variable is dependent upon one or more […]