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Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}  The regression line is: y=y= Answer    −− Answer    xx Based on the regression line, we would expect the value of response variable to be Answer    when the explanatory variable is 0.  For each increase of 1 in of the explanatory variable, we can expect a(n) Answer    of Answer    in the response variable.  If x=−3.5x=−3.5, the yˆ=y^= Answer. This is an example of Answer   . The correlation coefficient is r=r= Answer. (Round to the nearest hundredth.)

Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}  The regression line is: y=y= Answer    −− Answer    xx Based on the regression line, we would expect the value of response variable to be Answer    when the explanatory variable is 0.  For each increase of 1 in of the explanatory variable, we can expect a(n) Answer    of Answer    in the response variable.  If x=−3.5x=−3.5, the yˆ=y^= Answer. This is an example of Answer   . The correlation coefficient is r=r= Answer. (Round to the nearest hundredth.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 

  1. The regression line is: y=y= Answer
     
     −− Answer
     
     xx
  2. Based on the regression line, we would expect the value of response variable to be Answer
     
     when the explanatory variable is 0. 
  3. For each increase of 1 in of the explanatory variable, we can expect a(n) Answer
     
     of Answer
     
     in the response variable. 
  4. If x=−3.5x=−3.5, the yˆ=y^= Answer. This is an example of Answer
     
    .
  5. The correlation coefficient is r=r= Answer. (Round to the nearest hundredth.)
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