1. create a vector called unemploy rate with 12 values, one for each month in 2018....

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1. create a vector called unemploy rate with 12 values, one for each month in 2018. The values for each month are listed below (beginning with January's rate of 7.9). 7.9 7.7 7.5 7.5 7.5 7.5 7.3 7.2 7.2 7.2 7.0 6.7 2. create a vector called month and add 12 values, one for the name of each month in a year. Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 3. convert month to a factor variable 4. create a data frame called monthly rate is comprised of unemploy rate and month. 5. How would you extract the unemployment rate for March? 6. Extract only those months where unemployment was below 7.5% Activate V Go to Setting 1. create a vector called unemploy rate with 12 values, one for each month in 2018. The values for each month are listed below (beginning with January's rate of 7.9). 7.9 7.7 7.5 7.5 7.5 7.5 7.3 7.2 7.2 7.2 7.0 6.7 2. create a vector called month and add 12 values, one for the name of each month in a year. Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 3. convert month to a factor variable 4. create a data frame called monthly rate is comprised of unemploy rate and month. 5. How would you extract the unemployment rate for March? 6. Extract only those months where unemployment was below 7.5% Activate V Go to Setting

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1 unemployrate c797775757575737272727067 catunemployrate 2 ans month cJanFebMa... View the full answer