Analyzing data using statistical models by defining the problem and data collection. By using decriptive statistics to summarize the data. The basic features of the dataset (e.g., mean, median, mode, standard deviation)such as the flow of the bank branches and how many products and services each client uses in each branch. An increase needs to be made in the . Regression Analysis (e.g., Linear Regression): To understand relationships between a dependent variable and one or more independent variables. Use when you want to predict outcomes or test hypotheses. ANOVA (Analysis of Variance): To compare means across multiple groups. Use when comparing more than two categories. Time Series Analysis: To forecast future values based on previously observed values. Use when dealing with time-dependent data. get atrited clients back. 34697 branch number has the lowest clients. there are 20655 consultations over a couple of years period need more. Services 4,5,and 6 have 99 selections and that has been corrected because it skews the graph. the term atrited means wear down or weaken and the assumption is made with this column that the clients are no longer customers or have not used the bank in a couple of years. Expand