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- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.01%3A_Symbols_and_Their_MeaningsThis page offers a detailed reference table of statistical symbols and their verbal representations, categorized into areas such as Sampling, Descriptive Statistics, Probability, Random Variables, Nor...This page offers a detailed reference table of statistical symbols and their verbal representations, categorized into areas such as Sampling, Descriptive Statistics, Probability, Random Variables, Normal Distribution, Central Limit Theorem, Confidence Intervals, Hypothesis Testing, Chi-Square Distribution, and Linear Regression. Each entry features the symbol, its spoken name, and its statistical meaning.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.02%3A_FormulasThis page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis te...This page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis testing and confidence intervals using Z, t, Chi-square, and F tests.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.10%3A_Linear_RegressionThis page provides an introduction to regression analysis, highlighting its relationship with correlation analysis. Regression is a statistical method used to understand and predict the relationship b...This page provides an introduction to regression analysis, highlighting its relationship with correlation analysis. Regression is a statistical method used to understand and predict the relationship between dependent and independent variables. The chapter focuses on simple and multiple linear regression, explained through an inmate survey study assessing the impact of low self-control and age on risky lifestyles.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Book%3A_Lies_Damned_Lies_or_Statistics_-_How_to_Tell_the_Truth_with_Statistics_(Poritz)/03%3A_Linear_Regressionm is the slope, which tells how much the line goes up (increasing y) for every unit you move over to the right (increasing x) – we often say that the value of the slope is \(\ m=\frac{rise}{run}\). In...m is the slope, which tells how much the line goes up (increasing y) for every unit you move over to the right (increasing x) – we often say that the value of the slope is \(\ m=\frac{rise}{run}\). In particular, x 2 −x 1 =1,then \(\ m =\frac{y_2 - y_1}{1} = y_2 - y_1\) - so if you look at how much the line goes up in each step of one unit to the right, that number will be the slope m (and if it goes down, the slope m will simply be negative).
