Having trouble with just #5 and the scatter diagram can someone please explain #5 only the data table has been provided

4:14 AA tachment.googleusercontent.com C Customer Day Browser Time (min) Pages Viewed Amount Spent ($) Mon Chrome 12.0 4 54.52 Wed Other 19.5 6 94.90 AWN Mon Chrome 8.5 26.68 Tue Firefox 11.4 44.73 aANA Wed Chrome 11.3 66.27 Sat Firefox 10.5 67.80 Sun Chrome 11.4 2 36.04 Fri Firefox 4.3 6 55.96 Wed Firefox 12.7 70.94 10 Tue Chrome 24.7 68.73 11 Sat Other 13.3 54.04 12 Sun Firefox 14.3 48.05 13 Sun Other 11.7 64.16 14 Mon Firefox 24.4 10 158.51 15 Fri Chrome 8.4 84.12 16 Thu Chrome 9.6 59.20 17 Thu Chrome 23.3 91.62 18 Mon Chrome 14.0 126.40 19 Fri Other 5.6 68.45 20 Wed Chrome 15.1 32.69 21 Sat Firefox 16.3 78.58 A UN WNWAUUA VVAW 22 Tue Chrome 10.2 74.4 23 Sun Chrome 8.0 32.73 24 Tue Firefox 8.0 48.66 25 Fri Firefox 9.6 54.66 26 Wed Chrome 11.0 40.54 27 Sat Chrome 16.9 34.69 28 Sat Firefox 6.0 27.91 29 Fri Firefox 32.9 10 155.30 30 Mon Other 11.8 120.25 31 Thu Chrome 7.1 41.20 32 Fri Firefox 18.0 134.40 33 Sun Chrome 11.8 37.17 34 Fri Chrome 9.1 52.0 35 Tue Chrome 7.8 71.81 36 Mon Firefox 16.5 59.99 37 Thu Firefox 6.2 JAJAUNAAUUWADONO 84.17 38 Sat Chrome 11.3 55.58 39 Tue Chrome 10.6 39.06 40 Wed Chrome 5.0 36.48 41 Tue Other 15.9 67.44 42 Sat Chrome 18.1 60.14 43 Fri Firefox 10.8 70.38 44 Mon Chrome 13.3 110.65 45 Mon Chrome 30.1 6 104.23 46 Fri Firefox 13.7 68.17 47 Thu Chrome 8. 1 17.84 WaUNA 48 Fri Chrome 9.7 103.15 49 Mon Other 7.3 52.15 50 Fri Chrome 13.4 98.75 Gwould like to use the sample data to detennlne lionllne shoppers in 7 and View more pages also spend more money during their visit to the website. The ' would also like to investigate the effect that the day of the week and the type a! browser ' on sales. Han-genial Report _- lies \"to methods of descriptlve statistics to learn about the customers who visit the ' - website. Include the following in your report: 1. Graphical and numerical summaries for the length of time the shopper spends on the website. I * the number of pages viewed, and the mean amount spent per transaction. Discuss what you learn about -ms' onllne shoppers from these numerical summaries. 2. Summarize the irequency, the total dollars spent, and the mean amount spent per transaction _- for each day oi'week. What observations chn you make about a -s' business based on the day of the week? Discuss. 3. Summarize the frequency. the total dollars spent, and the mean amount spent per transaction for each type of browser. What observations can you make about u -' business based on the type ofbrowser? Discuss, _'__Is__ on the website. Discuss. 5. Develop a scatter diagram and compute the sample correlation coefficient to explore the relationship between the number of website pages viewed and the amount spent. Use the horizontal axis for the number of website pages viewed. Discuss.AGE MINDTAP O. Search this co Descriptive Statistics Numerical Measures ebook Customer Day Browser Time (min) Pages Amount 4 Viewed Spent ($) Mon Chrome 120 5452 N Wed Other 19.5 6 Mon Chrome 8.5 26 68 A Tue Firefox 114 2 M.73 Wed Chrome 11.3 4 66.27 Sat Firefox 10.5 67.80 Sun Chrome 11/ 2 36.04 leaven! Chocolates would like to use the sample data to determine if online shoppers who spend more time and view more pages also spend more money during their visit to the website. The company would also like to investigate the effect that the day of the week and the type of browser have on sales. 44 17 5 VO 8 R T Y U O P G H J K L C V B N M