Test interviews of two personnel evaluation techniques are available, the first requires a two-hour test interview while the second can be completed in less than an hour. The table below is the output of the regression analysis of the 15 individuals who took both tests: (i) Calculate the sample correlation coefficient between Test 1 and Test 2 (ii) if the correlation of determination between test 1 and test 2 is M. Comment on the value of this correlation determination.
Test interviews of two personnel evaluation techniques are available, the first requires a two-hour test interview while the second can be completed in less than an hour. The table below is the output of the regression analysis of the 15 individuals who took both tests: (i) Calculate the sample correlation coefficient between Test 1 and Test 2 (ii) if the correlation of determination between test 1 and test 2 is M. Comment on the value of this correlation determination.
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Test interviews of two personnel evaluation techniques are available, the first requires a two-hour test interview while the second can be completed in less than an hour. The table below is the output of the
(i) Calculate the sample
(ii) if the correlation of determination between test 1 and test 2 is M. Comment on the value of this correlation determination.

Transcribed Image Text:Regression Statistics
Multiple R
0.953935025
R Square
Adjusted R
Square
0.903068342
Standard Error
3.134808415
Observations
15
ANOVA
Significance
df
SS
MS
F
F
Regression
1
1291.582
1291.582
131.4316573
3.60668E-08
Residual
13
127.7513
9.827024
Total
14
1419.333
Standard
Coefficients
Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
11.66533278
5.295713
-2.20279
0.046260025
-23.1060256
-0.224639973
Test 1 (X)
0.755016772
0.065858
J
3.60668E-08
IN
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