Julian them analysed the average total spend per week on the app (p), in US dollars, by the customers in his sample. The scatter diagram below shows this data, paired with the average time spent on the app per week (r).12001000 800600400200average spend on the app p/w (USD)10 20 30 40 50 60 70 80 100 100 110 120 130 average time spent on the upper wok (mm)(e) Describe the correlation between time on the app and spend.Julian uses the data to calculate the equation of the regression line y un rasy-8.15 | 7.64Estimate the total spend of a stone who spends an average of 15 minutes onthe app per week (L) Justify if it is valid to use the regression line for this estimate.A colleague of Julian, Maria, is analysing the shopping apps of competing retailers toWalmart. Maria investigates 7 competing apps and compares the total number of users on these apps (in millions), with the apps rating on a recent top shopping, apps rank list". conducted by an online retail comparison website. The data is shown below.AppNumber of users (1)Rating (r)Maria uses the Spearman's rank correlation coefficient to artyse this data. She creates a table to rank the date is follows.Rank - UsersRank Ratingg) Copy and explete the tablCalculate the wine of Spearman rank correlation rethcient. r.(1) Interpret clid reali