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The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degrees Celsiu Year Temperature Year Temperature 1994 1995 1996 14.23 14.35 14.22 2005 2006 2007 14.55 14.50 14.49 1997 1998 1999 2000 2001 2002 2003 2004 14.42 14.54 14.36 14.33 14.45 14.51 14.52 14.48 2008 2009 2010 2011 2012 2013 2014 14.41 14.50 14.56 14.43 14.48 14.52 14.59 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! The least-squares regression line is Make a scatterplot using year as the explanatory variable and temperature as the response variable. temperature = -7.8+ (0.0111 x year) What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two

The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degrees Celsiu Year Temperature Year Temperature 1994 1995 1996 14.23 14.35 14.22 2005 2006 2007 14.55 14.50 14.49 1997 1998 1999 2000 2001 2002 2003 2004 14.42 14.54 14.36 14.33 14.45 14.51 14.52 14.48 2008 2009 2010 2011 2012 2013 2014 14.41 14.50 14.56 14.43 14.48 14.52 14.59 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! The least-squares regression line is Make a scatterplot using year as the explanatory variable and temperature as the response variable. temperature = -7.8+ (0.0111 x year) What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter9: Solving Quadratic Functions
Section: Chapter Questions
Problem 4CA
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The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degrees Celsius. Year Temperature Year Temperature 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 14.23 14.35 14.22 14.42 14.54 14.36 14.33 14.45 14.51 14.52 14.48 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 14.55 14.50 14.49 14.41 14.50 14.56 14.43 14.48 14.52 14.59 Click to download the data in your preferred format. 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 response variable. The least-squares regression line is temperature = -7.8+ (0.0111 x year) What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two decimal places. M G 31 M Nov 14
Transcribed Image Text:The table shows data on the average annual global temperatures for the years between 1994 and 2014 in degrees Celsius. Year Temperature Year Temperature 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 14.23 14.35 14.22 14.42 14.54 14.36 14.33 14.45 14.51 14.52 14.48 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 14.55 14.50 14.49 14.41 14.50 14.56 14.43 14.48 14.52 14.59 Click to download the data in your preferred format. 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 response variable. The least-squares regression line is temperature = -7.8+ (0.0111 x year) What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two decimal places. M G 31 M Nov 14
What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two decimal places. temperature = The predicted temperature from the least-squares regression equation for 2014 is Shy The correlation between these variables is r = 0.675. What percentage of the variation in temperature can be explained by the straight-line dependence on year? Round your answer to the nearest whole percent. percentage = M 31 hp 2 Celsius % Nov 14 12:39 3
Transcribed Image Text:What would you predict for the annual average temperature for 2014 based on this line? Report your answer in degrees to two decimal places. temperature = The predicted temperature from the least-squares regression equation for 2014 is Shy The correlation between these variables is r = 0.675. What percentage of the variation in temperature can be explained by the straight-line dependence on year? Round your answer to the nearest whole percent. percentage = M 31 hp 2 Celsius % Nov 14 12:39 3
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