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This is the Statistical Modelling course. In Q1, I have to specify each of the variables as the appropriate class. But I found that all

This is the Statistical Modelling course.

In Q1, I have to specify each of the variables as the appropriate class. But I found that all the variables are integers and not sure all those to be specified as numeric.

and for Q2, I can't really understand about the variance inflation.

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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. CACH 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 summary(machine.df) in your answer. 2. Find the variance inflation factors for the explanatory variables. What do these indicate to you

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