• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
notes
notes

Generalized Linear Models and Their Applications
Generalized Linear Models and Their Applications

Unit I Review Sheet This is NOT a comprehensive list – However, if
Unit I Review Sheet This is NOT a comprehensive list – However, if

... Compare values from two different distributions using their z-scores. Use Normal models (when appropriate) and the 68-95-99.7 Rule to estimate the percentage of observations falling within one, two, or three standard deviations of the mean. Determine the percentages of observations that satisfy cert ...
Ch5.4 Review Answers - Hinsdale Township High School District 86
Ch5.4 Review Answers - Hinsdale Township High School District 86

Powerpoint promissed
Powerpoint promissed

Single response variable Multiple response variables Multivariate
Single response variable Multiple response variables Multivariate

Research Methods Copy Notes
Research Methods Copy Notes

Regression
Regression

... selected from the same data to be used for estimation purposes. - Chris Chatfield in "Model Uncertainty, Data Mining and Statistical Inference", Journal of the Royal Statistical Society, Series A, 158 (1995), ...
application of the model to oic member countries
application of the model to oic member countries

Rocket Data Notes
Rocket Data Notes

Figure 9. Choosing an appropriate statistical procedure
Figure 9. Choosing an appropriate statistical procedure

< 1 ... 21 22 23 24 25

Interaction (statistics)



In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.The presence of interactions can have important implications for the interpretation of statistical models. If two variables of interest interact, the relationship between each of the interacting variables and a third ""dependent variable"" depends on the value of the other interacting variable. In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.The notion of ""interaction"" is closely related to that of ""moderation"" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report