Conduct a two-way fixed-effects ANOVA using camera and observer experience as variables. Include the interaction effect in the analysis. Summarize the results in a table. Please show step by step so that I can replicate the solution on my own.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A hospital wants to assess the relative diagnostic performance of its four mammography imaging systems. Six radiologists—three experts and three in training—participated in an ROC study. Each radiologist read a set of truth-ascertained images from each camera, evenly divided between diseased and normal cases. An area under the ROC curve was computed for each radiologist and camera, as indicated in the table.
Conduct a two-way fixed-effects ANOVA using camera and observer experience as variables. Include the interaction effect in the analysis. Summarize the results in a table. Please show step by step so that I can replicate the solution on my own.
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