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Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R\u0026D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.\n\nEDA\n\nCorrelation Analysis\n\nModel Building\n\nModel Testing\n\nModel Validation Two Techniques: 1. Collinearity Check \u0026 2. Residual Analysis.\n\nModel Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance \u0026 2. Leverage value\n\nImproving the Model\n\nModel Deletion Diagnostics and Final Model\n\nModel Predictions\n\ntable containing R^2 value for each prepared model\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshwetapardhi%2Fassignment-05-multiple-linear-regression-2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshwetapardhi%2Fassignment-05-multiple-linear-regression-2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshwetapardhi%2Fassignment-05-multiple-linear-regression-2/lists"}