I am using design expert software for optimising the percentage adsorption response i got by performing adsorption experiments. When the Analysis is done on ANOVA present in the software itself, I got certain values like p-value, F-value and R2 value. what is the meaning of these values. Please explain in detail. It would me convenient if literature is provided related to it.
Also please tell the difference between, Adjusted r2 vs predicted r2 vs r2
Hi Uddipta
I recommend you to consult the following links:
http://www.differencebetween.net/miscellaneous/difference-betweeen-anova-and-regression/
https://statisticsbyjim.com/anova/f-tests-anova/
https://statisticsbyjim.com/regression/interpret-adjusted-r-squared-predicted-r-squared-regression/
http://www.analyticsforfun.com/2014/06/performing-anova-test-in-r-results-and.html?m=1
It's better if you find a good tutorial on ANOVA because it's a huge topic and there are so many things to consider
Hello, Mr. Andrew said, ANOVA topic is an extensive statistical analysis that you need to know the general background information. You can refer to this website to a the basic information on any statistical terminology. https://www.theanalysisfactor.com/resources/by-topic/data-analysis-practice-skills/
Uddipta Nath when you run an ANOVA model on R statistical software which i am familiar with you will get:
F-value which try to measure the significance of the overall ANOVA model and not just one variable. This has more use when there is more than one explanatory variable. The higher the F value the better the model.
P-value is your probability value, before you set up your experiment and analysis your result, you must have a define P-value, in biological sciences it usually set at P
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