Shailesh K. answered 06/18/25
MSE in Electrical Engineering with 10+ Years of Teaching Expertise
Hi Rekha.
The primary difference between one-way ANOVA and two-way ANOVA lies in the number of independent variables (factors) they analyze. A one-way ANOVA uses one independent variable, while a two-way ANOVA uses two. This means a two-way ANOVA can examine not only the individual effects of each factor but also their potential interaction on the dependent variable.
From description of problems it is evident that sample size (425) is large and number of variables (12) are many. Therefore, two-way ANOVA analysis should be preferred over one-way ANOVA. However, you wish to know which two variables should be considered for One-way ANOVA analysis. My response is Financial Standing and Reasons for the Loan are of prime importance.
Let us say you wish to use One-way ANOVA to determine validation of credit (Yes or No) dependent variable. Then, one way ANOVA will analyze sensitivity of Financial Standing data of 425 cases and determine top eligible clients for funding approval first time. You can use the same analysis tool second time using data of Reasons for the loan by comparing ranking of causes among 425 cases. Then, ANOVA will provide graphs of relative merits of funding the clients in order of their importance. However, one-way ANOVA analysis provides incomplete picture because it does not take into account interdependencies of first and second prime factor on output variable. Therefore, two-way ANOVA analysis is imperative for this problem to get more meaningful results. Please check out You Tube
at One-way vs. Two-way ANOVA.
I hope this helps.
Sincerely,
Shailesh (Sky) Kadakia, Expert Tutor with WYZANT