Regression Analysis

<h4><strong style=background-color: rgba(255 255 255 1); color: rgba(15 17 17 1)>BONUS! Hardcover edition contains a 42-page bonus chapter! <em>Other Multivariate Methods</em></strong></h4><p><br></p><p><strong>Learn regression analysis at a deeper level with guidance written in everyday language!</strong></p><p><br></p><p>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.</p><p><br></p><p><strong>Progress from a beginner to a skilled practitioner ready for real-world applications!</strong></p><p><br></p><p>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.</p><p><br></p><ol><li data-list=bullet><span class=ql-ui contenteditable=false></span>Select the correct type of regression analysis.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Specify the best model and assess how well it fits the data.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Interpret the results.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Understand main effects interaction effects and modeling curvature.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Use polynomials data transformations and weighted least squares.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Generate predictions and evaluate their precision.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Check the assumptions and resolve issues.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Identify and manage unusual observations.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Examples of many regression models and scenarios.</li><li data-list=bullet><span class=ql-ui contenteditable=false></span>Access free downloadable datasets so you can work the examples yourself.</li></ol>