000			01979nam a22002057a 4500
999			_c2486 _d2486
005			20220726104758.0
008			220726b ||||| |||| 00| 0 eng d
020			_a9781735431185
082			_a519.536 _bFRO
100			_aFrost, Jim _96285
245			_aRegression analysis: an intuitive guide for using and interpreting linear models
260			_aUSA _bJim Publishing _c2019
300			_av, 345 p.
365			_aUSD _b24.99
520			_aLearn regression analysis at a deeper level with guidance written in everyday language! Intuitively understand regression analysis by focusing on concepts and graphs rather than equations. Learn practical tips for modeling your data 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. Progress from a beginner to a skilled practitioner ready for real-world applications! After an overview of how regression works and why to use it, the book covers a range of topics, including specifying and assessing models, practical applications, types of effects, statistical significance, predictions, and an array of problem-solving techniques. Contains practical and analytical guidance. Select the correct type of regression analysis. Specify the best model and assess how well it fits the data. Interpret the results. Understand main effects, interaction effects, and modeling curvature. Use polynomials, data transformations, and weighted least squares. Generate predictions and evaluate their precision. Check the assumptions and resolve issues. Identify and manage unusual observations. Examples of many regression models and scenarios. Access free downloadable datasets so you can work the examples yourself.
650			_aRegression analysis--Computer programs _97944
650			_aRegression analysis--Data processing _97945
650			_aSpatial analysis (Statistics) _97946
942			_2ddc _cBK