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o predict the y-value for x-value 53 you run a regression analysis on a bivariate set of data, after checking the data points in the scatter plot had few outliers and were roughly grouped around a (straight) line. Use significance level of α=.06α=.06 to assess the strength of the linear correlation. Linear Regression T-Test results areˆyy^=−2.79x+110.1=-2.79x+110.1 p=0.038p=0.038You also find ¯x=45.1x¯=45.1 and ¯y=−15.7y¯=-15.7. To predict the y-value when x=53x=53, y≈y≈ ¯y=−15.7y¯=-15.7 ˆyy^=−2.79⋅53+110.1=−37.77=-2.79⋅53+110.1=-37.77 ¯x=45.1x¯=45.1 All of these None of these

o predict the y-value for x-value 53 you run a regression analysis on a bivariate set of data, after checking the data points in the scatter plot had few outliers and were roughly grouped around a (straight) line. Use significance level of α=.06α=.06 to assess the strength of the linear correlation. Linear Regression T-Test results areˆyy^=−2.79x+110.1=-2.79x+110.1 p=0.038p=0.038You also find ¯x=45.1x¯=45.1 and ¯y=−15.7y¯=-15.7. To predict the y-value when x=53x=53, y≈y≈ ¯y=−15.7y¯=-15.7 ˆyy^=−2.79⋅53+110.1=−37.77=-2.79⋅53+110.1=-37.77 ¯x=45.1x¯=45.1 All of these None of these

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
Section4.5: Correlation And Causation
Problem 2AGP
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o predict the y-value for x-value 53 you run a regression analysis on a bivariate set of data, after checking the data points in the scatter plot had few outliers and were roughly grouped around a (straight) line. Use significance level of α=.06α=.06 to assess the strength of the linear correlation.

Linear Regression T-Test results areˆyy^=−2.79x+110.1=-2.79x+110.1
p=0.038p=0.038You also find ¯x=45.1x¯=45.1 and ¯y=−15.7y¯=-15.7.
To predict the y-value when x=53x=53, y≈y≈

  • ¯y=−15.7y¯=-15.7
  • ˆyy^=−2.79⋅53+110.1=−37.77=-2.79⋅53+110.1=-37.77
  • ¯x=45.1x¯=45.1
  • All of these
  • None of these
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