Use the SAS data table titled ACCEPTS to answer the questions below. $($The data set contains observations of individuals who applied for and received car loans$).$

Create four monthly income categories based on the variable Applicants income: 'less than $2000\text{'}($so 'between $2000$ and $3999\mathrm{.}99\text{'},$ 'between $4000$ and $5999\mathrm{.}99\text{'},$ and 'more than $6000\text{'}($observations with missing income should be set to missing value and not considered for the analysis$).$ Take a screenshot of how you created this new variable $($Right$-$click on the variable name under the Data pane and select Edit, create a screenshot$)$ and save it as an image that you can upload later.

Create four credit score categories based on the variable Bureau score: 'worst credit' $($with Bureau score less than $650($so ok credit' $($with Bureau score between $650$ and $699),$ 'good credit' $($with Bureau score between $700$ and $749),$ and 'very good credit' $($with Bureau score of $750$ or more$).($Observations with missing income should be set to missing value and not considered for the analysis$).$ Take a screenshot of how you created this new variable $($Right$-$click on the variable name under the Data pane and select Edit, create a screenshot$)$ and save it as an image that you can

Question $1$A$)$ What percentage of people with more that $6000$$ income and inthe worst credit category have bad loans?

Question $1$B$)$ What percentage of people with more than $6000$$ income and in the ok category have bad loans?

Question $1$C What percentage of people with more than $6000$$ income and in the very good credit category have bad loans?