in R please provide the code and explanation for the following using the Moore data set in the car library For each partner status data frame, create a single graph with 3 boxplots on the same scale, one for the conformity for each of the authoritarianism (fcategory) values. Based on the boxplots, do you think the null hypothesis for the ANOVA test will be rejected or not? Without creating new data frames, check the normality assumption for each subset (there are 6 defined by the combinations of partner status and authoritarianism) by creating qq plots. Make sure each plot has an appropriate title. Note: you can use dataset$colName to select just one column of data from a data frame and the which() function to select rows based on condition Do you think that the normality assumption is reasonable? Why or why not? What is the sample variance for each combination of partner status and authoitarianism? Do you think that the assumption of common variance holds?

For each partner status data frame, create a single graph with 3 boxplots on the same scale, one for the conformity for each of the authoritarianism (fcategory) values. Based on the boxplots, do you think the null hypothesis for the ANOVA test will be rejected or not?

Without creating new data frames, check the normality assumption for each subset

(there are 6 defined by the combinations of partner status and authoritarianism) by creating qq plots. Make sure each plot has an appropriate title.
Note: you can use dataset$colName to select just one column of data from a data frame and the which() function to select rows based on condition

Do you think that the normality assumption is reasonable? Why or why not?