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:
:
Very large number of
sample slopes ^
b1
Source: McClave & Sincich (2003) Some cautions about the
interpretation of significance tests Rejecting H0: b1 = 0 and concluding that the
relationship between x and y is significant does
not enable us to conclude that a causeandeffect
relationship is present between x and y. Just because we are able to reject H0: b1 = 0 and
demonstrate statistical significance does not enable
us to conclude that there is a linear relationship
between x and y. Example output from Excel
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.947098368
R Square
0.896995318
Adjusted R Square
Standard Error
Observations 0.884119733
8.64136818
10 ANOVA
df SS Regression 1 5202.214 Residual
Total 8
9 597.386
5799.6 Coefficients Standard
Error Intercept 266.5343954 51.03198 X Variable 1 6.137581463 0.735336 MS F 5202.214 69.66637 Sign...
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This note was uploaded on 09/28/2011 for the course STAT METHO 33:623:385 taught by Professor Faridalizadeh during the Spring '11 term at Rutgers.
 Spring '11
 FaridAlizadeh

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