MATH 50015
APPLIED STATISTICS 3 Credit Hours
Kent State University at Ashtabula · UGRD · Fall 2026
1 section
Catalog description
(Slashed with MATH 40015 ) Course is based on classical linear regression techniques with an emphasis on real data using the principles of sound data analysis. Close attention is given to issues of interpretation, diagnostics, outliers and influential points, goodness of fit and model selection. Topics include simple and multiple linear regression, transformation and modifications of covariates and responses, design matrices, variable selection and logistic regression.
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Availability not recently verifiedClass #kent_tuscarawas-5991Fall 2026UGRD
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