Temperature (°F) 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 High Temperature (°F) at Gainesville Airport on January 2nd vs Year (1974-2002) 1970 1975 1980 Temperature (°F) ......... Linear (Temperature (°F)) 1985 Year 1990 1995 y = 0.1878x - 301.48 R² = 0.056 y = -0.0755x + 220.61 R² = 0.0073 2000 Temperature (°F) w/o Outliers ......... Linear (Temperature (°F) w/o Outliers) 0 2005 Year 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 Temperature (°F) 82.9 68.0 72.0 57.9 ● 65.8 79.9 64.0 68.0 70.0 73.0 Year 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 Temperature (°F) 64.0 79.0 68.0 68.0 73.9 81.0 68.0 72.0 72.0 75.9 Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 Temperatur (°F) 64.9 66.0 75.9 78.1 68.5 80.1 78.1 52.0 57.0 1) Graph the Year vs Temperature 2) If there is a linear (straight line) relationship, then add a linear trendline to your graph (include the equation of the line and the r-squared value) 3) Is there is a Pattern and/or a Trend? (This is a two-part question) 4) Describe the Pattern and/or Trend observed, if any. (This is a two-part question) 5) Which property is the Cause and which property is the Effect of the change, if any? Did you Graph your variables appropriately? 6) Are there any "Outlier" Data Points (data points that "stick-out" from the rest)? If you answer to Question 6 is YES, state which points are outliers. Then ADD another Series to your graph with all the data points except the outliers. This new series will be used to add a linear trendline to the graph, along with its equation and r-squared value. 7) What is the Pattern and/or Trend in the data?
Temperature (°F) 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 High Temperature (°F) at Gainesville Airport on January 2nd vs Year (1974-2002) 1970 1975 1980 Temperature (°F) ......... Linear (Temperature (°F)) 1985 Year 1990 1995 y = 0.1878x - 301.48 R² = 0.056 y = -0.0755x + 220.61 R² = 0.0073 2000 Temperature (°F) w/o Outliers ......... Linear (Temperature (°F) w/o Outliers) 0 2005 Year 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 Temperature (°F) 82.9 68.0 72.0 57.9 ● 65.8 79.9 64.0 68.0 70.0 73.0 Year 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 Temperature (°F) 64.0 79.0 68.0 68.0 73.9 81.0 68.0 72.0 72.0 75.9 Year 1994 1995 1996 1997 1998 1999 2000 2001 2002 Temperatur (°F) 64.9 66.0 75.9 78.1 68.5 80.1 78.1 52.0 57.0 1) Graph the Year vs Temperature 2) If there is a linear (straight line) relationship, then add a linear trendline to your graph (include the equation of the line and the r-squared value) 3) Is there is a Pattern and/or a Trend? (This is a two-part question) 4) Describe the Pattern and/or Trend observed, if any. (This is a two-part question) 5) Which property is the Cause and which property is the Effect of the change, if any? Did you Graph your variables appropriately? 6) Are there any "Outlier" Data Points (data points that "stick-out" from the rest)? If you answer to Question 6 is YES, state which points are outliers. Then ADD another Series to your graph with all the data points except the outliers. This new series will be used to add a linear trendline to the graph, along with its equation and r-squared value. 7) What is the Pattern and/or Trend in the data?
Chapter9: Energy For Today
Section: Chapter Questions
Problem 14E
Related questions
Question
![Temperature (°F)
90.00
80.00
70.00
60.00
50.00
40.00
30.00
20.00
10.00
0.00
High Temperature (°F) at Gainesville Airport on January 2nd vs Year (1974-2002)
1970
1975
1980
Temperature (°F)
......... Linear (Temperature (°F))
1985
Year
1990
1995
y = 0.1878x - 301.48
R² = 0.056
y = -0.0755x + 220.61
R² = 0.0073
2000
Temperature (°F) w/o Outliers
......... Linear (Temperature (°F) w/o Outliers)
0
2005
Year
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
Temperature
(°F)
82.9
68.0
72.0
57.9
●
65.8
79.9
64.0
68.0
70.0
73.0
Year
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
Temperature
(°F)
64.0
79.0
68.0
68.0
73.9
81.0
68.0
72.0
72.0
75.9
Year
1994
1995
1996
1997
1998
1999
2000
2001
2002
Temperatur
(°F)
64.9
66.0
75.9
78.1
68.5
80.1
78.1
52.0
57.0
1) Graph the Year vs Temperature
2) If there is a linear (straight line) relationship, then add a linear trendline to your graph
(include the equation of the line and the r-squared value)
3) Is there is a Pattern and/or a Trend? (This is a two-part question)
4) Describe the Pattern and/or Trend observed, if any. (This is a two-part question)
5) Which property is the Cause and which property is the Effect of the change, if any?
Did you Graph your variables appropriately?
6) Are there any "Outlier" Data Points (data points that "stick-out" from the rest)?
If you answer to Question 6 is YES, state which points are outliers. Then ADD
another Series to your graph with all the data points except the outliers. This
new series will be used to add a linear trendline to the graph, along with its
equation and r-squared value.
7) What is the Pattern and/or Trend in the data?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffa675c8f-e4fd-44ed-8623-981d9f20bb85%2F6dd0b61c-8bde-4b6a-9dd4-f5fbf473aa56%2Fcw5p9ln_processed.png&w=3840&q=75)
Transcribed Image Text:Temperature (°F)
90.00
80.00
70.00
60.00
50.00
40.00
30.00
20.00
10.00
0.00
High Temperature (°F) at Gainesville Airport on January 2nd vs Year (1974-2002)
1970
1975
1980
Temperature (°F)
......... Linear (Temperature (°F))
1985
Year
1990
1995
y = 0.1878x - 301.48
R² = 0.056
y = -0.0755x + 220.61
R² = 0.0073
2000
Temperature (°F) w/o Outliers
......... Linear (Temperature (°F) w/o Outliers)
0
2005
Year
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
Temperature
(°F)
82.9
68.0
72.0
57.9
●
65.8
79.9
64.0
68.0
70.0
73.0
Year
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
Temperature
(°F)
64.0
79.0
68.0
68.0
73.9
81.0
68.0
72.0
72.0
75.9
Year
1994
1995
1996
1997
1998
1999
2000
2001
2002
Temperatur
(°F)
64.9
66.0
75.9
78.1
68.5
80.1
78.1
52.0
57.0
1) Graph the Year vs Temperature
2) If there is a linear (straight line) relationship, then add a linear trendline to your graph
(include the equation of the line and the r-squared value)
3) Is there is a Pattern and/or a Trend? (This is a two-part question)
4) Describe the Pattern and/or Trend observed, if any. (This is a two-part question)
5) Which property is the Cause and which property is the Effect of the change, if any?
Did you Graph your variables appropriately?
6) Are there any "Outlier" Data Points (data points that "stick-out" from the rest)?
If you answer to Question 6 is YES, state which points are outliers. Then ADD
another Series to your graph with all the data points except the outliers. This
new series will be used to add a linear trendline to the graph, along with its
equation and r-squared value.
7) What is the Pattern and/or Trend in the data?
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