# You are required to complete the on-line VIA survey for discussion in class. For this self-assessment task please reflect on when you have used three of your top 5-7 VIA strengths. Often, we revert t

Week 7 Assignment - 100 points Given the yearly sales in yearly_sales .csv file, complete the following: Show all the descriptive statistics of sales_total , including its standard deviation and variance. Correlation of number_of_order to sales_total . Plot the scatter graph of number_of_order to sales_total . Perform linear regression of number_of_order to sales_total . Draw the line of best fit (abline) over your graph . Perform T test as shown below and show your conclusion . Perform ANOVA test as shown below and show your conclusion . T test This is to test for the mean of one group; here we have sale_total . t.test(sales_total, mu = 249) # R command for t test H0: mu = 249 # null hypothesis H1: mu ≠ 249 # alternative hypothesis Rejection level = 0.05 (implies 95% confidence level) Do not Reject H0 if p -value is <= 0.05 Reject H0 if p -value is > 0.05 ANOVA test ANOVA is used to test the equality of mean for two groups; here we hav e Male and Female . anova(lm(data = myData, sales_total ~ factor(gender))) # R command for ANOVA test. H0 : There is significant difference between Male and Female sales_total. H1 : There is no significant difference between Male and Female sales_total. Rejection level = 0.05 (implies 95% confidence level) Do not Reject H0 if p -value is <= 0.05 Reject H0 if p -value is > 0.05