This is the Statistical Modelling course.

# The data consists of characteristics of computors [available at the time of the study) and a measure of the computor's performance. MYCT machine cycle time in nanoseconds. MMIN minimum main memory in kilobytes. MMAX maximum main memory in kilobytes. EACH cache memory in kilobytes. CHMIN minimum channels in units. CHMAX maximum channels in units. PRP published relative performance.' 1. Create a data frame machine.df that contains the data from the file machine.data. Make sure each of the variables has been specified as the appropriate class. Include the output from the str(machine.df) and summarylmachinedf] in your answer. 2. Find the variance inflation factors for the explanatory variables. What do these indicate to you? 3. Use pairsZDx to investigate the variables and the relationships between them. Sum ma rise your findings. 4. Fit an initial model that relates the response to the regressors and do diagnostics. Adjust your model as appropriate. 5. Use dredge to produce a \"short list" of promising models