1- Read the dataset in Boston. csv into R. Call the loaded data Boston. Make sure that you have the directory set to the correct location for the data.2.
2- The response is nox and the predictor is dis. Use the poly() function to fit a cubic polynomial regression to predict nox using dis. Report the regression output.
3- Your assistant business analyst, Tom Johnson, is considering predicting nox using dis as a predictor. He proposes models from degree 5, degree 4, and degree 3, and degree 2 polynomial regression. Please perform cross-validation using caret package to select the optimal degree for the polynomial and justify your answer.
4- Recommend that he perform the following GAM analysis.
Predict nox using a smoothing spline of degree 3 in dis and a smoothing spline of degree 2 in medv.
Predict nox using a smoothing spline of degree 2 in dis and a smoothing spline of degree 1 in medv.
Perform anova analysis. Recommend the best model and justify your answer.

Write a program that prints the day number of the year, given the date in the form month-day-year. for example, if the input is 1-1-2006, the day number is 1; if the input is 12-25-2006, the day number is 359. the program should check for a leap year. a year is a leap year if it is divisible by 4, but not divisible by 100. for example, 1992 and 2008 are divisible by 4, but not by 100. a year that is divisible by 100 is a leap year if it is also divisible by 400. for example, 1600 and 2000 are divisible by 400. however, 1800 is not a leap year because 1800 is not divisible by 400.

Read the following scenario, and then answer the question below. you want to send an e-mail to your boss requesting a meeting to discuss a raise. what is the best example of an e-mail to an employer about this meeting? “hey jason. can we chat about getting me more money soon? let me know. peace, meg.” “hello jason. pardon me for sending yet another e-mail today about my need to talk to you about my position and a possible pay increase. i am dying to know when you can talk. sincerely, meg.” “hello jason. i have been with the company for one year and have taken on more responsibilities than outlined in my job description. i would appreciate an opportunity to speak with you about my position. let me know when we can schedule a meeting. you, meg.” “greetings jason! i hope this e-mail finds you well and happy today. i really, really want to talk to you about something important. i am not sure if you have time. i hope you do. get back in touch with me and let me know when we might talk. ever so much for taking the time to read this. sincerely, meg.”

What is the definition of digital literacy?