R Codes and Analysis for Home Prices in Metropolitan Areas

We need the R codes and the respective values for the numeric questions or the correct multiple choice answer. How many metropolitan aHow many metropolitan areas (rows) are part of the West region? (Whole number) reas (rows) are included in the total data file? (Whole number For metro areas in the Central, what was the average ‘median home price’ for those cities in 2004? (XXX.X) If you wanted to test whether mean home prices are different between two regions (e.g., between Southeast and Central) in 2004, what test would you use? Assume you want to be conservative in your analysis and don’t know anything about the prices in a given market. t test for one mean, mu t test for 2 independent samples, assuming equal variances t test for 2 independent samples, not assuming equal variances t test for mean difference using dependent samples When carrying out a t-test for a difference in means for two regions (e.g., between Southeast and Central), which value in the R output allows us to conclude whether the means are different? degrees of freedom sample mean difference P-value hypothesized mean difference Now, perform that test. Is there a statistically significant difference (at the 0.05 level) between mean home price in the Northeast and the West regions during 2011? What p-value do you get for the two-sample (unequal variances) test? (X.XXX) Looking specifically at two states, did home prices for metro areas in South Carolina and Texas differ from one another on average in 2011 (at a = 0.05)? What p-value do you get for the two-sample (unequal variances) test? (X.XXX) Now, if you wanted to run one test and determine whether mean home prices are different between any of the four regions in 2011, what test would you use? t-tests for the 6 pairwise comparisons One-way ANOVA (one factor ANOVA) Two-way ANOVA (two factor ANOVA Conduct a one-way ANOVA to see if there are significant differences in mean home price across regions in 2011. What is the P-value? (X.XXX)