Upload your dataset and scatterplot. Be sure to include a regression line and residual plot. This scenario is supposed to be based on either a real set of events that you can provide real data for, or a simulated form of events that you can look up information for for the data sets and then create the two different kinds of graphs for. Draw conclusion(s) from both of the plots you made and assess whether the residual plot indicates a linear or non-linear model. Your conclusion(s) should include a discussion of the relationship of the two variables. Provide an explanation for your conclusion(s).

(20 points) a bank has been receiving complaints from real estate agents that their customers have been waiting too long for mortgage confirmations. the bank prides itself on its mortgage application process and decides to investigate the claims. the bank manager takes a random sample of 20 customers whose mortgage applications have been processed in the last 6 months and finds the following wait times (in days): 5, 7, 22, 4, 12, 9, 9, 14, 3, 6, 5, 15, 10, 17, 12, 10, 9, 4, 10, 13 assume that the random variable x measures the number of days a customer waits for mortgage processing at this bank, and assume that x is normally distributed. 2a. find the sample mean of this data (x ě…). 2b. find the sample variance of x. find the variance of x ě…. for (c), (d), and (e), use the appropriate t-distribution 2c. find the 90% confidence interval for the population mean (îľ). 2d. test the hypothesis that îľ is equal to 7 at the 95% confidence level. (should you do a one-tailed or two-tailed test here? ) 2e. what is the approximate p-value of this hypothesis?