Residuals Output, Probability Output and Charts For example, if the % of paved roadway = 1% the Salt concentration could be estimated as 17.547* (1%) +2.6765 = 20.2235 mg/l. Using the equation, y = Salt concentration = 2.677 + 17.547*(% paved roadway area), you could predict the salt concentration based on the percent of paved roadway. Use the Equation for Prediction and Estimation In other words, there is a relation between the two variables. Since the p value ( 0 < 0.05), we reject the null hypothesis that the two variables are unrelated. 951 means that 95.1% of the variation in salt concentration can be explained by roadway area. Some statistics references recommend using the Adjusted R Square value.
Click and drag over your data to select it and then click on QI Macros, Statistical Tools and Regression:.Enter your data into Excel with the independent variable in the left column and the dependent variable in the right column.
This sample data is found in QI Macros Test Data > statistical.xlsx > Regression Data: What if we wanted to know if the salt concentration in runoff (dependent variable) is related to the percent of paved roadway area (independent variable). Regression arrives at an equation to predict performance based on each of the inputs. The purpose of regression analysis is to evaluate the effects of one or more independent variables on a single dependent variable. " PROCESS is a very user-friendly and marvelous macro.Statistical Analysis Excel » Regression Analysis Regression Analysis in Excel You Don't Have to be a Statistician to Run Regression Analysis "I love PROCESS!! Thank you so much for this amazing tool." - United States descended from ue stats miracle." - United States "PROCESS is a must-have for SPSS" - United States It is a wonderful development in research" - Nigeria PROCESS has solved most of my problems with mediation and moderation since I started carrying out research and analysing such data. "Research with the PROCESS macro tool is fun." - Kenya Thank you for all your efforts!" -The Netherlands "Thanks for inspiring us all to think in terms of mediating and moderating effects but, more importantly, help unleash the power of computational power in a easy to use way. I was stuck with my PhD data before I stumbled on it." – Kenya "Thanks for developing this very nice model for solving moderation. " It is a much easier alternative to doing this in Mplus" - United States "Testing moderated mediation has never been so easy." - Malaysia It allowed me to do things in my dissertation that would have been computationally very difficult for me otherwise." - United States I look forward to reading and learning more about this topic!" - United States "Thank you for creating and sharing the PROCESS macro! I find your book ( Introduction to Mediation, Moderation, and Conditional Process Analysis) and papers about special PROCESS topics very helpful, clear, and easy to follow - a real pleasure to read and apply.
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"Thank you for providing this excellent software - it is immensely helpful in my research." - United States And it provides a relatively simple way to analyze relatively complex models using bootstrapping CIs." - United States It makes it easier to commit to one structure for analyzing a hypothesized mediation model.
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