Question
The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degreesCelsius. Year 1994 1995 1996 1997 1998
The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degreesCelsius.
Year | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 |
---|---|---|---|---|---|---|---|---|---|---|---|
Temperature | 14.23 | 14.35 | 14.22 | 14.42 | 14.54 | 14.36 | 14.33 | 14.45 | 14.51 | 14.52 | 14.48 |
Year | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
---|---|---|---|---|---|---|---|---|---|---|---|
Temperature | 14.55 | 14.50 | 14.49 | 14.41 | 14.50 | 14.56 | 14.43 | 14.48 | 14.52 | 14.59 |
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CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt!
Make a scatterplot using year as the explanatory variable and temperature as the responsevariable.
The leastsquares regression lineis
temperature=7.8+(0.0111year)
What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two decimalplaces.
temperature =
Celsius
The predicted temperature from the leastsquares regression equation for 2014 is
within degrees of the actualtemperature.
The correlation between these variables is =0.675. What percentage of the variation in temperature can be explained by the straightline dependence on year? Round your answer to the nearest wholepercent.
percentage=
%
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