Using the templates provided, develop a communications plan for the project, including a RACI-O matrix. Also, develop a preliminary Risk Register, including risk response plans.

Assignment SummaryUse the College dataset (链接到外部网站。) from the ISLR library to build regularization models by using Ridge and Lasso (least absolute shrinkage and selection operator). Predict Grad.Rate for all models.Split the data into a train and test set – refer to the Feature_Selection_R.pdf document for information on how to split a dataset.Ridge RegressionUse the cv.glmnet function to estimate the lambda.min and lambda.1se values. Compare and discuss the values.Plot the results from the cv.glmnet function provide an interpretation. What does this plot tell us?Fit a Ridge regression model against the training set and report on the coefficients. Is there anything interesting?Determine the performance of the fit model against the training set by calculating the root mean square error (RMSE). sqrt(mean((actual - predicted)^2))Determine the performance of the fit model against the test set by calculating the root mean square error (RMSE). Is your model overfit?LASSOUse the cv.glmnet function to estimate the lambda.min and lambda.1se values. Compare and discuss the values.Plot the results from the cv.glmnet function provide an interpretation. What does this plot tell us?Fit a LASSO regression model against the training set and report on the coefficients. Do any coefficients reduce to zero? If so, which ones?Determine the performance of the fit model against the training set by calculating the root mean square error (RMSE). sqrt(mean((actual - predicted)^2))Determine the performance of the fit model against the test set by calculating the root mean square error (RMSE). Is your model overfit?ComparisonWhich model performed better and why? Is that what you expected?Refer to the Intermediate_Analytics_Feature_Selection_R.pdf document for how to perform stepwise selection and then fit a model. Did this model perform better or as well as Ridge regression or LASSO? Which method do you prefer and why?ReportRefer to the attached rubric for more details on the report. The report should contain a well written cover/title page, introduction, body, conclusion, and references. It must follow APA format and have at least 1000 words (excluding title page and references page. All R code used for your report should be included in an appendix at the end of the report.Graphs, figures, charts, and tables are very useful visual effects to communicate your results and impress your readers. However, such items should not be included in the report unless they are well described and interpreted. Please use subtitles to make your assignment more reader friendly as well.Format & GuidelinesThe report should follow the following format:Title pageIntroductionAnalysisConclusion/InterpretationsReferencesAppendix

Assignment InstructionsAnswer the following questions. Be sure to list your references at the end of your post. References must be in APA citation format. Must be a minimum of 250-300 words. 1. What are the "virtues" of hacking as described by hackers? Do these virtues justify breaking the law? Should police take the "higher" goals pursed by hackers into consideration when making arrests? Why or why not. 2. What is the Bank Secrecy Act of 1970? How has the advent of computer technologies created avenues around this act?