Purchase Solution

Regression Definitions

Not what you're looking for?

Ask Custom Question

I. B0 (beta sub zero) = population intercept
ii. B1 (beta sub one) = population slope
iii. e (epsilon) = random error
iv. r = coefficient of correlation
v. r2 (r-squared) = coefficient of determination
vi. Independent variable
vii. Dependent variable

Purchase this Solution
Solution Summary

The expert provides definition of statistical terms.

Solution Preview

i. B0 (beta sub zero) = population intercept

When you fit a regression line to data, this is it y-intercept of the line. That means it is an estimate of the y-value (the dependent variable) when the x-value (the independent variable) is equal to 0.

ii. B1 (beta sub one) = population slope

This is the slope of the regression line. If you increase the value of x by 1, this is the expected change in the value of y.

iii. e (epsilon) = random error ...

Purchase this Solution
Free BrainMass Quizzes
Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Regression Statistics and ANOVA

    224278 Regression Statistics and ANOVA Effectively interpret and explain this output to your immediate supervisor. Be complete, through and technically correct but do not quote or use textbook definitions per se.

  • Discussion on Causation, Correlation and Regression

    (2) Compares (similarities) and contrasts (differences) regression and correlation. This is far different than the definitions required in (1) above. While definitions are important, they do not describe the similarities and differences.

  • Statistics

    ANSWER: You are correct about the definitions of descriptive statistics and regression analysis.

  • Statistics Definitions - F Distribution

    165446 Statistics Definitions - F Distribution Please help by giving substantive definitions to help me understand the following statistics terms.

  • correlational and regression studies definitions

    629637 correlational and regression studies definitions Discuss the strengths and weaknesses of correlational and regression studies; discuss concepts such as positive and negative correlations, correlation coefficients, confounding, and causality.

  • Solving various questions on hypothesis testing

    All questions are testing definitions. The solution gives detailed answers to various questions on hypothesis testing. All possible questions are included for this topic.

  • Linear Regression and Correlation

    Example: SEE ATTACHED RESPONSE From http://www.harcourtschool.com/glossary/math_advantage/definitions/negative_c8.html c. What is the relationship between the independent and dependent variable?

  • Multiple regression analysis in Minitab

    In this solution we do a multiple regression analysis in Minitab

  • Statistical definitions and examples.

    Statistical definitions and examples are given. The definition of the Greek symbols, chi square, regression, and non parametric are among those items discussed. There is also a discussion on variables and ANOVA.

  • Forecasting schedule

    Regression helps in predicting the values based on predictors. 2 COCOMO is an open model and has to publish following details ? The underlying cost estimation equations and assumptions ? Definitions ?

View More Related Solutions