The data set netuse contains the internet usage for several websites, along with the time (since noon
marked as 0 until midnight which is marked as 12). The records were randomly pulled from a network
server. The goal is to build a model that predicts the server usage based on time, and to be able to
explain that model graphically (it is acceptable to leave the units, such as time, as they are)
Create
1) Linear model of server use based on time
i. Make one model for all websites
a. Show the summary output from the lm command
b. Make a graph of the data with the regression model(s) plotted on it
ii. Make one model with a different line for each website
a. Show the summary output from the lm command
b. Make a graph of the data with the regression model(s) plotted on it
2) Quadratic model of server use based on time
iii. Make one model for all websites
a. Show the summary output from the lm command
b. Show a graph of the data with the regression model(s) plotted on it
iv. Make one model with completely different quadratic fits by website
a. Show the summary output from the lm command
b. Make a graph of the data with the regression model(s) plotted on it