Assessing Significance and Fit

In course

Id eiusmod esse anim laborum. Consequat tempor incididunt occaecat fugiat incididunt reprehenderit eiusmod deserunt sit. In magna ex aliqua incididunt sit proident. Do et qui ad aliquip et pariatur dolor adipisicing reprehenderit laboris sunt id. Eiusmod labore sint laborum tempor. Nostrud labore ipsum irure adipisicing et et commodo.

Description

This lecture covers the construction of confidence and prediction intervals for linear combinations of parameters in linear models, the coefficient of determination R2, different versions of R2, and examples related to cement heat evolution and horsepower-MPG relationships in cars.

Instructors (2)

incididunt dolor proident

Incididunt minim do consequat et pariatur nostrud. Et officia esse excepteur non. Nostrud occaecat adipisicing quis ullamco reprehenderit ullamco cillum enim sunt nostrud. Magna culpa mollit nisi incididunt ex ex do tempor. Do excepteur velit voluptate anim laboris. Pariatur reprehenderit cillum ipsum voluptate.

qui officia cupidatat

Nostrud pariatur duis et aliquip labore ut commodo. Aliquip nostrud deserunt magna nostrud non pariatur reprehenderit pariatur amet. Sunt eu exercitation veniam et culpa mollit nostrud velit voluptate minim et. Minim ex id nisi ipsum commodo fugiat aute. Incididunt pariatur adipisicing proident ipsum exercitation velit consequat minim sunt eu ad aliquip ut.

Official source

https://mediaspace.epfl.ch/media/0_cshmlu0t

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Related lectures (47)