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
by
Anderson, Alan (Professor of economics)
Format:
Books
Publication Date
2014
Excerpt:
distributions -- Drawing conclusions from samples -- More advanced techniques: regression analysis and
by
Linneman, Thomas John, author.
Format:
Books
Publication Date
2014
Excerpt:
Social statistics : managing data, conducting analyses, presenting results / Linneman, Thomas John
by
Epstein, Lee, 1958- author.
Format:
Books
Publication Date
2014
Excerpt:
-- Summarizing data -- Statistical inference -- Regression analysis : the basics -- Multiple regression analysis
by
Scott, Ian, 1964- author.
Format:
Books
Publication Date
2014
Excerpt:
association: chi-square -- 17. Tests for association: correlation and regression -- 18. How big a sample
by
Montgomery, Douglas C., author.
Format:
Books
Publication Date
2014
Excerpt:
for Two Samples -- Simple Linear Regression and Correlation -- Multiple Linear Regression -- Design
by
Ho, Robert author.
Format:
Books
Publication Date
2014
Excerpt:
Handbook of univariate and multivariate data analysis with IBM SPSS / Ho, Robert author.
by
Foreman, John W., author.
Format:
Books
Publication Date
2014
Excerpt:
supervised artificial intelligence : regression -- Ensemble models : a whole lot of bad pizza -- Forecasting
by
Freund, John E.
Format:
Books
Publication Date
2014
Excerpt:
-- Tests of hypothesis involving means, variances, and proportions -- Regression and correlation -- Design
by
Aaker, David A., author.
Format:
Books
Publication Date
2013
Excerpt:
CHAPTER 19 Correlation Analysis and Regression Analysis -- CHAPTER 20 Discriminant, Factor, and
by
McDaniel, Carl, Jr., 1941-
Format:
Books
Publication Date
2013
Excerpt:
relationships -- 17 Bivariate Correlation and Regression -- 18 Multivariate Data Analysis -- 19 Communicating
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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