After careful consideration of the single factor identified in the model above, the researchers were interested in compounding more factors that influence the country's level of happiness. The added factors were GDP Per Capita, Family, Life Expectance, Generosity and Government Corruption. A. Using the results found below, provide a Table-Reading Texts to each set of results. B. What happened to the main variable which is Freedom when other variables were added to the regression test? What is the implication to this in the context of approximating the reality of "happiness" across countries which is happiness?

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 1E
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NOTE: This Regression Model used the "Enter" Method
Linear Regression
Model Summary - Happiness Score
Model
R
R
ANOVA
Model
H₁
Coefficients
Model
H₂
0.000
0.901
Sum of Squares
160.105
36.966
197.071
Note. The intercept model is omitted, as no meaningful information can be shown.
Regression
Residual
Total
(Intercept)
(Intercept)
GDP per Capita
Family
Life Expectancy
Descriptives
Freedom
Generosity
Government Corruption
0.000
0.812
Happiness Score
GDP per Capita
Family
Life Expectancy
Freedom
Generosity
Covernment Corruption
Adjusted R
0.000
0.805
155
155
155
155
155
155
155
df
Mean
5.354
0.985
1.189
RMSE R' Change F Change df1
1.131
0.000
0.500
0.812
5.354
1.743
0.784
1.118
1.289
1.476
0.381
0.827
0.551
0.409
0.247
0.123
148
154
Mean Square
26.684
0.250
Unstandardized Standard Error Standardized
0.091
0.187
0.205
0.202
0.322
0.343
0.329
0.484
SD
1.131
0.421
0.287
0.237
0.150
0.135
0.102
106.836
SE
0.091
0.034
0.023
0.019
0.012
0.011
0.008
F
P
106.836 <.001
0.292
0.284
0.270
0.196
0.045
0.074
d12
154
148
<.001
95% CI
Lower Upper
58.924 <.001
5.175
5.534
9.303 <.001 1.373
2.113
1.189
3.836 <.001 0.380
0.718 1.517
4.009 <.001 0.654 1.924
5.532 <.001
4.309 <.001
0.799
2.153
1.156 0.250 -0.270
1.032
1.707
0.090
-0.130
1.784
Transcribed Image Text:NOTE: This Regression Model used the "Enter" Method Linear Regression Model Summary - Happiness Score Model R R ANOVA Model H₁ Coefficients Model H₂ 0.000 0.901 Sum of Squares 160.105 36.966 197.071 Note. The intercept model is omitted, as no meaningful information can be shown. Regression Residual Total (Intercept) (Intercept) GDP per Capita Family Life Expectancy Descriptives Freedom Generosity Government Corruption 0.000 0.812 Happiness Score GDP per Capita Family Life Expectancy Freedom Generosity Covernment Corruption Adjusted R 0.000 0.805 155 155 155 155 155 155 155 df Mean 5.354 0.985 1.189 RMSE R' Change F Change df1 1.131 0.000 0.500 0.812 5.354 1.743 0.784 1.118 1.289 1.476 0.381 0.827 0.551 0.409 0.247 0.123 148 154 Mean Square 26.684 0.250 Unstandardized Standard Error Standardized 0.091 0.187 0.205 0.202 0.322 0.343 0.329 0.484 SD 1.131 0.421 0.287 0.237 0.150 0.135 0.102 106.836 SE 0.091 0.034 0.023 0.019 0.012 0.011 0.008 F P 106.836 <.001 0.292 0.284 0.270 0.196 0.045 0.074 d12 154 148 <.001 95% CI Lower Upper 58.924 <.001 5.175 5.534 9.303 <.001 1.373 2.113 1.189 3.836 <.001 0.380 0.718 1.517 4.009 <.001 0.654 1.924 5.532 <.001 4.309 <.001 0.799 2.153 1.156 0.250 -0.270 1.032 1.707 0.090 -0.130 1.784
5. After careful consideration of the single factor identified in the model above, the
researchers were interested in compounding more factors that influence the country's
level of happiness. The added factors were GDP Per Capita, Family, Life Expectance,
Generosity and Government Corruption.
A. Using the results found below, provide a Table-Reading Texts to each set of
results.
B. What happened to the main variable which is Freedom when other variables were
added to the regression test? What is the implication to this in the context of
approximating the reality of "happiness" across countries which is happiness?
Transcribed Image Text:5. After careful consideration of the single factor identified in the model above, the researchers were interested in compounding more factors that influence the country's level of happiness. The added factors were GDP Per Capita, Family, Life Expectance, Generosity and Government Corruption. A. Using the results found below, provide a Table-Reading Texts to each set of results. B. What happened to the main variable which is Freedom when other variables were added to the regression test? What is the implication to this in the context of approximating the reality of "happiness" across countries which is happiness?
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