Search for tag: "residuals"

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27:31 EEA 2021 - Linear Regression EEA 2021 - Linear Regression	EEA 2021 - Linear Regression Lecture for linear regression and non-parametric equivalent. linear regression model variable correlation analysis relationship variables variance residuals heteroscedasticity bit models assumption variation values assumptions log test x. From Kyle Dexter on March 4th, 2021 0 likes 38 plays 0 Licence Type Creative Commons - Attribution Non Commercial
33:15 EEA 2021 - Analysis of Variance EEA 2021 - Analysis of Variance	EEA 2021 - Analysis of Variance Lecture on analysis of variance and parametric equivalents variance distribution categories flowers analysis groups test values variation model probability freedom degrees tests sample residuals linear parameters flower things From Kyle Dexter on March 4th, 2021 0 likes 41 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
09:10 IDS - Week 09 - 01 - Keeping up with IDS IDS - Week 09 - 01 - Keeping up with IDS	IDS - Week 09 - 01 - Keeping up with IDS Keeping up with IDS - Week 09 data science rstats week model models projects bit points things feedback regression outcome answer variable residuals employment salary end teams friday workshop testing From Mine Cetinkaya-Rundel on November 16th, 2020 0 likes 13 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
20:43 IDS - Week 08 - 04 - Modelling nonlinear… IDS - Week 08 - 04 - Modelling nonlinear relationships	IDS - Week 08 - 04 - Modelling nonlinear relationships Fitting a linear model to transformed data data science rstats model log residuals linear paintings relationship values plot transformation width painting variable response slope scatter pattern variables factor bit fit From Mine Cetinkaya-Rundel on November 10th, 2020 0 likes 18 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
29:03 IDS - Week 08 - 03 - Fitting and interpreting… IDS - Week 08 - 03 - Fitting and interpreting models	IDS - Week 08 - 03 - Fitting and interpreting models Fitting and interpreting models with numerical and categorical predictors. data science rstats model slope models painting paintings variables variable intercept packages residuals output inches regression formula width bit level levels numbers correlation From Mine Cetinkaya-Rundel on November 9th, 2020 0 likes 24 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
27:16 IDS - Week 08 - 02 - The language of models IDS - Week 08 - 02 - The language of models	IDS - Week 08 - 02 - The language of models Defining and visualizing models and a discussion on how they're used. data science rstats model paintings models painting width variables relationship landscape auction uncertainty plot variable function bit height inches prediction scatter residuals features From Mine Cetinkaya-Rundel on November 9th, 2020 0 likes 25 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
19:30 USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley on November 1st, 2020 0 likes 177 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
15:43 USMR lecture 7 part 2 USMR lecture 7 part 2	USMR lecture 7 part 2 independence; influence; model criticism usmr psychology ppls statistics rstats model observation age week observations reading plot dataset residuals outlier things hours distance practice influence dot graph correlation students predictors From Martin Corley on November 1st, 2020 0 likes 194 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
14:52 USMR lecture 7 part 1 USMR lecture 7 part 1	USMR lecture 7 part 1 model criticism usmr psychology ppls statistics rstats residuals model values plot deviations assumptions distribution observations linear plots fact dataset alcohol blood command relationship density slide graph bit From Martin Corley on November 1st, 2020 0 likes 207 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
03:50 Diagnostics and Multiple Regression Diagnostics and Multiple Regression	Diagnostics and Multiple Regression Diagnosing problems and dealing with multiple output values predictive point regression analysis general regression caption complete capture good thing thing predictions systems theory output values 2017 outliers approach method iaml noise multiple linear relationship residual effects problem structure outline vectors michael linear regression thought sensitive situation model output values kind residuals problems idea vector weight regressions From Nigel Goddard on October 1st, 2017 2 likes 2,703 plays 0 Licence Type Creative Commons - Attribution
03:15 A Probilistic View A Probilistic View	A Probilistic View A probabilistic formulation of the linear model square probability regression analysis gaussian probabilistically general predicts regression caption complete annoyance probabilistic systems theory 2017 mosquito function iaml noise linear model theory of probability distributions equivalent statistical terminology component effects output estimate likelihood probability theory structure remember solution linear regression algorithms residuals variance problem linear model error log input inverse pseudo method optimization score task From Nigel Goddard on October 1st, 2017 0 likes 2,759 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "residuals"

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