Q13. Quantity demand of Heating Gas t=β0 - β1 Price of Heating Gas+ β2 Income per capital   SUMMARY OUTPUT                   Regression Statistics       Multiple R 0.91723906       R Square …………………..       Adjusted R Square 0.826215825       Standard Error 1.972012508       Observations …………………

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Q13.
Quantity demand of Heating Gas t=β0 - β1 Price of Heating Gas+ β2 Income per capital

 

SUMMARY OUTPUT

       
         

Regression Statistics

     

Multiple R

0.91723906

     

R Square

…………………..

     

Adjusted R Square

0.826215825

     

Standard Error

1.972012508

     

Observations

…………………

     
         

ANOVA

       

 

df

SS

MS

F

Regression

2

433.0140833

216.507

…………………

Residual

21

………………….

3.888833

 

Total

….

514.6795833

 

 

         

 

Coefficients

Standard Error

t Stat

P-value

Intercept

-2.105

2.374617513

-0.88646

0.385409797

Price of Heating Oil

-0.578833333

0.104968381

-5.51436

1.79846E-05

Income Per Household

4.075

0.493003127

8.265668

4.85848E-08

 

  1. Complete the (?) on table by correct number
  2. Write down the multiple regression equation. 
  3. How much is the % variation in the house price that is explained by the independent variables. 
  4. Interpret the regression coefficients X3. 
  5. At the 5% level of significance, which of the 4 independent variables is NOT statistically significant in the determination of the FDI in MENA region? Explain your answer.
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