Consider the following data that is relevant for this decision: The data is also in this Excel Spreadsheet

The data is the annual litres per person that has been consumed in Ontario.

Year	Tea (L per person)	Coffee (L per person)
1998	42.4	95.85
1999	42.12	97.28
2000	47.61	87.62
2001	60.86	92.04
2002	55.58	99.21
2003	50.61	95.63
2004	49.89	97.42
2005	56.77	93.93
2006	62.53	95.67
2007	68.31	99.25
2008	69.88	101.31
2009	72.99	101.68
2010	71.36	104.02
2011	90.78	106.09
2012	74.7	105.8
2013	67.15	102.15
2014	67.03	101.15
2015	87.83	104.05
2016	93.4	102.7
2017	78.9	105.28
2018	111.32	106.3
2019	98.39	104.96
2020	105.25	103.57

1. Calculate all the measures of central tendency and spread for coffee and tea.
2. Create Histograms and Box-Plots for both coffee and tea, displaying the number of years in each interval of consumption in L/person.

Place this information in your report (word processing document), you don't need to include the original data.

Use all the information you have created to answer the following questions.

1. Use your measures of central tendency. measures of spread, histograms and box plots to compare the amount of coffee and tea consumed in Ontario over the time span. Clearly justify your thoughts.
2. Compare your scatterplots, lines of best fit and correlation coefficients. In your comparison discuss the relevance of the slopes and values of the correlation coefficients. Extrapolate the appropriate lines to estimate the amount of each beverage consumed in 2022 and comment on the accuracy or reliability of the estimate by referring to the correlation coefficients. Give your thoughts on the type of correlation (Activity 5) that you believe is present.