Year Tea (L per person) Coffee (L per person) 1994 42.4 95.85 1995 42.12 97.28 1996 47.61 87.62 1997 60.86 92.04 1998 55.58 99.21 1999 50.61 95.63 2000 49.89 97.42 2001 56.77 93.93 2002 62.53 95.67 2003 68.31 99.25 2004 69.88 101.31 2005 72.99 101.68 2006 71.36 104.02 2007 90.78 106.09 2008 74.7 105.8 2009 67.15 102.15 2010 67.03 101.15 2011 87.83 104.05 2012 93.4 102.7 2013 78.9 105.28 2014 111.32 106.3 2015 98.39 104.96 2016 105.25 103.57 By using the definition and discussing what is relevant to the situation,...

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Advance Math

Year

Tea
(L per person)

Coffee
(L per person)

1994

42.4

95.85

1995

42.12

97.28

1996

47.61

87.62

1997

60.86

92.04

1998

55.58

99.21

1999

50.61

95.63

2000

49.89

97.42

2001

56.77

93.93

2002

62.53

95.67

2003

68.31

99.25

2004

69.88

101.31

2005

72.99

101.68

2006

71.36

104.02

2007

90.78

106.09

2008

74.7

105.8

2009

67.15

102.15

2010

67.03

101.15

2011

87.83

104.05

2012

93.4

102.7

2013

78.9

105.28

2014

111.32

106.3

2015

98.39

104.96

2016

105.25

103.57

By using the definition and discussing what is relevant to thesituation, interpret each of the following for both the coffee andtea data. Also, compare each for coffee and tea. Be sure to includethe relevant information (state the value of or, in the case of thedistribution, include the graphs) with each component.

  1. Mean
  2. Median
  3. Modal Interval
  4. Range
  5. IQR
  6. Standard Deviation
  7. Distribution of histogram and box plot
  8. Slope of each linear model
  9. Y-intercept of Coffee vs. Tea
  10. Correlation coefficient for each linear model
  11. Relevant interpolations or extrapolations
  12. Correlation type (from Activity 5) for coffee and tea

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