Question: SUMMARY OUTPUT Regression Statistics Multiple R 0.253 R Square 0.064 Adjusted R Square 0.045 Standard Error 5782.082 Observations 52.000 ANOVA df SS MS F Significance

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.253
R Square 0.064
Adjusted R Square 0.045
Standard Error 5782.082
Observations 52.000
ANOVA
df SS MS F Significance F
Regression 1.000 114106219.739 114106219.739 3.413 0.071
Residual 50.000 1671623638.030 33432472.761
Total 51.000 1785729857.769
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 24696.789 937.978 26.330 0.000 22812.806 26580.773 22812.806 26580.773
X Variable 1 -3339.647 1807.716 -1.847 0.071 -6970.550 291.257 -6970.550 291.257
  1. What is the value of intercept in the equation?
  2. What is the value of slope parameter for variable 1 in the estimated equation?
  3. Write down the value of t-ratio for both intercept and slope parameter for 1.
  4. How do you interpret the value of estimated coefficient (slope parameter) for variable 1?
  5. Is the estimated coefficient for variable 1 statistically significant? How do you determine statistical significance?
  6. What is the P-value for estimated coefficient of 1? How do you interpret that?
  7. What is the value of "coefficient of Determination" or R2in the estimated regression equation?
  8. How do you interpret the value of R2?
  9. What is the value of Residual? How do you interpret the value of residual in a regression equation?

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