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by 
Montgomery, Douglas C., author.
Format: 
Books
Publication Date 
2014
Excerpt: 
for Two Samples -- Simple Linear Regression and Correlation -- Multiple Linear Regression -- Design
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by 
Ho, Robert author.
Format: 
Books
Publication Date 
2014
Excerpt: 
Handbook of univariate and multivariate data analysis with IBM SPSS / Ho, Robert author.
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by 
Salkind, Neil J., author.
Format: 
Books
Publication Date 
2014
Excerpt: 
relationships using the correlation coefficient -- Predicting who'll win the super bowl: using linear regression
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by 
Aaker, David A., author.
Format: 
Books
Publication Date 
2013
Excerpt: 
CHAPTER 19 Correlation Analysis and Regression Analysis -- CHAPTER 20 Discriminant, Factor, and
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by 
Voinov, Vassiliy.
Format: 
Books
Publication Date 
2013
Excerpt: 
regression model -- 7.1.6.Concluding remarks -- 7.2.Revisiting Rutherford's data -- 7.2.1.Analysis of the
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by 
Wagner III, William E. Wagner III, William Edward.
Format: 
Books
Publication Date 
2013
Excerpt: 
Ordinal Variables -- Correlation and Regression Analysis -- Logistic Regression Analysis -- Testing
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by 
McDaniel, Carl, Jr., 1941-
Format: 
Books
Publication Date 
2013
Excerpt: 
relationships -- 17 Bivariate Correlation and Regression -- 18 Multivariate Data Analysis -- 19 Communicating
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by 
Edwards, Michael C. (Michael Charles), 1977-
Format: 
Books
Publication Date 
2013
Excerpt: 
-Parameter Logistic Prior Mean / Steven N. MacEachern -- ch. 9 Exact Solutions for IRT Latent Regression Slopes and
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by 
Salkind, Neil J.
Format: 
Books
Publication Date 
2013
Excerpt: 
super bowl : using linear regression -- What to do when you're not normal : chi-square and some other
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by 
Field, Andy, author.
Format: 
Books
Publication Date 
2013
Excerpt: 
. Exploratory factor analysis -- 18. Categorical data -- 19. Logistic regression -- 20. Multilevel linear models
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by 
Westfall, Peter H., 1957-
Format: 
Books
Publication Date 
2013
Excerpt: 
MATHEMATICS / Probability & Statistics / Bayesian Analysis.
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by 
Chen, Ding-Geng.
Format: 
Books
Publication Date 
2013
Excerpt: 
Survival analysis (Biometry)
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