Run a regression analysis on the following bivariate set of data with y as the response variable. x y 21.5 -5.9 43.7 30.5 60 35.4 52.2 15.1 83.8 56.2 79.3 60 73 80.2 69.6 48.8 101.9 71.7 33.3 8 61.5 54.3 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 6.2 on the response variable. What is the predicted explanatory value? x =  (Report answer accurate to one decimal place.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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Run a regression analysis on the following bivariate set of data with y as the response variable.

x y
21.5 -5.9
43.7 30.5
60 35.4
52.2 15.1
83.8 56.2
79.3 60
73 80.2
69.6 48.8
101.9 71.7
33.3 8
61.5 54.3

Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 6.2 on the response variable.

What is the predicted explanatory value?
x = 

(Report answer accurate to one decimal place.)

Expert Solution
Step 1

Solution:

  x y (x-x) (x-x)2 (y-y) (y-y)2 (x-x)(y-y)
  21.5 -5.9 -40.3 1624.09 -47.2 2227.84 1902.16
  43.7 30.5 -18.1 327.61 -10.8 116.64 195.48
  60 35.4 -1.8 3.24 -5.9 34.81 10.62
  52.2 15.1 -9.6 92.16 -26.2 686.44 251.52
  83.8 56.2 22 484 14.9 222.01 327.8
  79.3 60 17.5 306.25 18.7 349.69 327.25
  73 80.2 11.2 125.44 38.9 1513.21 435.68
  69.6 48.8 7.8 60.84 7.5 56.25 58.5
  101.9 71.7 40.1 1608.01 30.4 924.16 1219.04
  33.3 8 -28.5 812.25 -33.3 1108.89 949.05
  61.5 54.3 -0.3 0.09 13 169 -3.9
               
Total  679.8 454.3   5443.98   7408.94 5673.2

n= 11 observation . 

x=679.8x=xn=679.811=61.8y=454.3y=yn=454.311=41.3

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