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Intuitively understand regression analysis by focusing on concepts and graphs rather than equations and formulas. I use everyday language so you can grasp regression at a deeper level. Progress from a beginner to a skilled practitioner. Learn practical tips for performing your analysis and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise. Includes access to free downloadable datasets for the examples. Learn the following: How regression works and when to use it. Selecting the correct type of regression analysis. Specifying the best model. Understanding main effects, interaction effects, and modeling curvature. Interpreting the results. Assessing the fit of the model. Generating predictions and evaluating their precision. Checking the assumptions and resolving issues. Examples of different types of regression analyses.
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Regression Analysis, Jim Frost
- Sprache
- Erscheinungsdatum
- 2020
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- (Paperback)
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- Titel
- Regression Analysis
- Untertitel
- An Intuitive Guide for Using and Interpreting Linear Models
- Sprache
- Englisch
- Autor*innen
- Jim Frost
- Erscheinungsdatum
- 2020
- Einband
- Paperback
- ISBN10
- 1735431184
- ISBN13
- 9781735431185
- Reihe
- Schlagwörter
- Sachbücher, Lehrbücher, Grafiken
- Bewertung
- 4,7 von 5 Sternen
- Beschreibung
- Intuitively understand regression analysis by focusing on concepts and graphs rather than equations and formulas. I use everyday language so you can grasp regression at a deeper level. Progress from a beginner to a skilled practitioner. Learn practical tips for performing your analysis and interpreting the results. Feel confident that you're analyzing your data properly and able to trust your results. Know that you can detect and correct problems that arise. Includes access to free downloadable datasets for the examples. Learn the following: How regression works and when to use it. Selecting the correct type of regression analysis. Specifying the best model. Understanding main effects, interaction effects, and modeling curvature. Interpreting the results. Assessing the fit of the model. Generating predictions and evaluating their precision. Checking the assumptions and resolving issues. Examples of different types of regression analyses.