August 2011
Beginner to intermediate
202 pages
5h 45m
English
Content preview from Business Applications of Multiple Regression
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A
age and tag numbers
correlation coefficient calculation
using, 22– 23, 22t, 30f, 31
data set example, 11, 11t
simple regression in, 54– 62, 54t
analysis of variance (ANOVA)
confidence interval calculations,
69– 71
multiple regression, 91– 94, 91f,
93f, 103– 104, 103f
simple regression, Excel software,
59, 62
SPSS software, 117, 119
autocorrelation
Durbin- Watson test, 170– 174,
171t, 172f– 173f, 175– 176
management of, 174– 176
multiple regression model, 102
validity testing, regression models,
169– 176
automated hypothesis testing,
multiple regression, 107– 110,
107f– 108f
average fitted value, confidence
interval, broiler- producing states
correlation example, 68– 69
B
backward elimination
partial F- test, 115
SPSS software, 118– 119
best fit data, simple regression ...
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