Apply the four criteria for the inclusion of a variable( theory || t-test || R² || Bias |) to determine whether PRP isirrelevant or previously was an omitted (relevant) variable (that is,whether PRP should or should not be included in the above model). - reg YEARY PC PB YD TEMP PRPSourcedfMSNumber of obs29F(6, 22)=1777.52Model2025.82114337.636856Prob > F0.0000=ResidualR-squaredAdj R-squared4.1788622122.1899482820.99790.9974Total20302872.5Root MSE=.43583YEARCoefficientStd. err.tP>|t|[95% conf. interval]Y.0640617.05232151.220.234-.0444465.1725699PC-.0179212.010265-1.750.095-.0392094.003367PB.0058838.00500921.170.253-.0045047.0162722YD.0978191.01422616.880.000.068316.1273222TEMP.0021932.00541430.410.689-.0090354.0134218PRP.0087202.00919060.950.353-.01034.0277804cons1966.4751.7279651138.030.0001962.8921970.059

In this question we have to apply the four criteria for the inclusion of a variable ( theory ||…

Apply the four criteria for the inclusion of a variable (| theory || t-test || R² || Bias |) to determine whether PRP is irrelevant or previously was an omitted (relevant) variable (that is, whether PRP should or should not be included in the above model).

Apply the four criteria for the inclusion of a variable (| theory || t-test || R² || Bias |) to determine whether PRP is irrelevant or previously was an omitted (relevant) variable (that is, whether PRP should or should not be included in the above model).

College Physics

11th Edition

ISBN:9781305952300

Author:Raymond A. Serway, Chris Vuille

Publisher:Raymond A. Serway, Chris Vuille

Chapter1: Units, Trigonometry. And Vectors

Section: Chapter Questions

Problem 1CQ: Estimate the order of magnitude of the length, in meters, of each of the following; (a) a mouse, (b)...

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Question

Apply the four criteria for the inclusion of a variable
( theory || t-test || R² || Bias |) to determine whether PRP is
irrelevant or previously was an omitted (relevant) variable (that is,
whether PRP should or should not be included in the above model).

- reg YEARY PC PB YD TEMP PRP
Source
df
MS
Number of obs
29
F(6, 22)
=
1777.52
Model
2025.82114
337.636856
Prob > F
0.0000
=
Residual
R-squared
Adj R-squared
4.17886221
22
.189948282
0.9979
0.9974
Total
2030
28
72.5
Root MSE
=
.43583
YEAR
Coefficient
Std. err.
t
P>|t|
[95% conf. interval]
Y
.0640617
.0523215
1.22
0.234
-.0444465
.1725699
PC
-.0179212
.010265
-1.75
0.095
-.0392094
.003367
PB
.0058838
.0050092
1.17
0.253
-.0045047
.0162722
YD
.0978191
.0142261
6.88
0.000
.068316
.1273222
TEMP
.0021932
.0054143
0.41
0.689
-.0090354
.0134218
PRP
.0087202
.0091906
0.95
0.353
-.01034
.0277804
cons
1966.475
1.727965
1138.03
0.000
1962.892
1970.059

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