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
Chapter4: Estimating Demand
Section: Chapter Questions
Problem 1E
icon
Related questions
Question
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?
NOTE: This Regression Model used the "Enter" Method
Linear Regression ▾
Model Summary - Happiness Score
Model
R
R²
Ho
ANOVA
Model
H₂
Coefficients
Model
Ho
0.000
0.901
Descriptives
Regression
Residual
Total
(Intercept)
(Intercept)
GDP per Capita
Family
Life Expectancy
0.000
0.812
Sum of Squares
160.105
36.966
197.071
Note. The intercept model is omitted, as no meaningful information can be shown.
Freedom
Generosity
Government Corruption
Happiness Score
GDP per Capita
Family
Life Expectancy
Freedom
Generosity
Government Corruption
N
Adjusted R²
155
155
155
155
155
155
155
0.000
0.805
df
5.354
1.743
0.784
1.118
1.289
1.476
Mean
Unstandardized Standard Error
0.381
0.827
5.354
0.985
1.189
6
148
154
0.551
0.409
RMSE
1.131
0.500
0.247
0.123
R¹ Change
0.000
0.812
Mean Square
26.684
0.250
SD
1.131
0.421
0.287
0.237
0.150
0.135
0.102
0.091
0.187
0.205
0.202
0.322
0.343
0.329
0.484
F Change
SE
0.091
0.034
0.023
0.019
0.012
0.011
0.008
106.836
F
106.836
Standardized
0.292
0.284
0.270
0.196
0.045
0.074
P
df1
0
6
<.001
T
df2
1.156
1.707
154
148
P
58.924
<.001
9.303 <.001
3.836 <.001
5.532 < .001
4.009
<.001
4.309 <.001
p
<.001
95% CI
Lower
Upper
5.534
2.113
1.189
5.175
1.373
0.380
0.718
1.517
0.654 1.924
0.799
2.153
1.032
1.784
0.250 -0.270
0.090 -0.130
Transcribed Image Text:NOTE: This Regression Model used the "Enter" Method Linear Regression ▾ Model Summary - Happiness Score Model R R² Ho ANOVA Model H₂ Coefficients Model Ho 0.000 0.901 Descriptives Regression Residual Total (Intercept) (Intercept) GDP per Capita Family Life Expectancy 0.000 0.812 Sum of Squares 160.105 36.966 197.071 Note. The intercept model is omitted, as no meaningful information can be shown. Freedom Generosity Government Corruption Happiness Score GDP per Capita Family Life Expectancy Freedom Generosity Government Corruption N Adjusted R² 155 155 155 155 155 155 155 0.000 0.805 df 5.354 1.743 0.784 1.118 1.289 1.476 Mean Unstandardized Standard Error 0.381 0.827 5.354 0.985 1.189 6 148 154 0.551 0.409 RMSE 1.131 0.500 0.247 0.123 R¹ Change 0.000 0.812 Mean Square 26.684 0.250 SD 1.131 0.421 0.287 0.237 0.150 0.135 0.102 0.091 0.187 0.205 0.202 0.322 0.343 0.329 0.484 F Change SE 0.091 0.034 0.023 0.019 0.012 0.011 0.008 106.836 F 106.836 Standardized 0.292 0.284 0.270 0.196 0.045 0.074 P df1 0 6 <.001 T df2 1.156 1.707 154 148 P 58.924 <.001 9.303 <.001 3.836 <.001 5.532 < .001 4.009 <.001 4.309 <.001 p <.001 95% CI Lower Upper 5.534 2.113 1.189 5.175 1.373 0.380 0.718 1.517 0.654 1.924 0.799 2.153 1.032 1.784 0.250 -0.270 0.090 -0.130
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Autocorrelation
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Managerial Economics: Applications, Strategies an…
Managerial Economics: Applications, Strategies an…
Economics
ISBN:
9781305506381
Author:
James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:
Cengage Learning