Simple Linear Regression Mode-Variability ¾The estimates of the unknown population parameters β0 and β1, are obtained by the method of least squares ¾Unexplained variability: the error sum of squares SSE ¾ ε is an error term representing deviation of Y about the line defined by β0 + β1 X. ¾β1 is the slope parameter, which corresponding to the change in the response variable given one-unit change in the predictor variable. ¾ β0 is the intercept parameter, which corresponding to the value of the response variable when the predictor is 0. Where ¾Y is the response variable variable. Simple Linear Regression Model ¾ The equation: ¾Interpret simple linear regression result from JMP JMP. regression ¾Understand the principles of simple linear regression. Simple Linear Regression Objectives ❭istinguish between one_way ANOVA and simple linear regression. Note: These calculations omit observations that are missing data for any variable when this occurs, JMP indicates the number of omitted observations at the bottom of the table. pulse rate during the run.Įxploring data with Scatterplots and Correlations ¾ Data: Fitness.JMP ¾The Variables of interest are listed below: Name Name of runner Gender gender of the runner Oxy oxygen consumption (higher Oxy is associated with better aerobic fitness) Runtime time to run 1.5 miles in mins Age age of runner Weight weight of the runner (kg) RunPulse pulse rate at the end of the run RstPulse resting pulse rate MaxPulse max. Add correlation coefficients to further explore the possible relationships. Q: Is it true that the more policemen cause high crime rate? ❬orrelation does not necessarily imply causation.Įxploring data with Scatterplots and Correlations ¾ Look for relationship using scatterplots. Misundersatnding the Correlation Coefficient ¾ A common error is that using correlation between two variables to conclude a cause-and effect relationship. jmpprj jmpprj JMP menu archives-.jmpmenuĮxploratory Data Analysis Correlation analysis is used to examine and describe the linear relationship between two continuous variables. txt) txt) JMP journal-.jrn JMP report-.jrp JMP JMP project-project. JMP data -.jmp, (data file : open all kinds of formats) JMP script script-.jsl jsl (can be saved with. The functionality of JMP is built around four data-driven tasks:
Jmp regression software#
JMP discovery statistical software and JMP Genomics JMP grows fast because of its interactive comprehensive interactive, comprehensive, highly visual visual. 2009 was the 20th anniversary of JMP's first release. Regression diagnostics Evaluating the assumptions of regression Recommendations
Jmp regression how to#
How to fit a multiple regression model How to fit a multiple regression model with interactions How to generate and compare candidate models Using JMP with a Specific Example of Regression Ying Liu 10/21/ 2009Įxploratory data analysis Simple liner regression Polynomial regression
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