A regression model was constructed by regressing Y on 5 explanatory variables, X1, X2, X3, X4,...
A regression model was constructed by regressing Y on 5 explanatory variables, X1, X2, X3, X4, and X5. There were n = 40 observations (rows) in the data set. In this case, the degrees of freedom (d.f.) for the error term in the model is:
Homework Answers
Solution:
Given: A regression model was constructed by regressing Y on 5 explanatory variables, X1, X2, X3, X4, and X5.
thus k = Number of indepndent ( explanatory ) variables = 5
n = total observations = 45
We have to find the degrees of freedom (d.f.) for the error term in the model.
dferror = n - k - 1
dferror = 40 - 5 - 1
dferror = 34
Thus the degrees of freedom (d.f.) for the error term in the model is 34
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A regression model was constructed by regressing Y on 5
explanatory variables, X1, X2, X3, X4,...
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Consider a multiple regression model of the dependent variable y on independent variables x1, X2, X3, and x4: Using data with n 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: y0.35 0.58x1 + 0.45x2-0.25x3 - 0.10x4 He would like to conduct significance tests for a multiple regression relationship. He uses the F test to determine whether a significant relationship exists between the dependent variable and He uses the t...
4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...
Suppose we have 5 independent and identically distributed random variables X1, X2, X3, X4,X5 each with the moment generating function 212 Let the random variable Y be defined as Y = Σ We were unable to transcribe this image
Suppose we have 5 independent and identically distributed random variables X1, X2, X3, X4,X5 each with the moment generating function 212 Let the random variable Y be defined as Y = Σ Find the joint probability that all Xi, (i-1,.5), are larger than 9.
Suppose we have 5 independent and identically distributed random variables X1, X2, X3, X4,X5 each with the moment generating function 212 Let the random variable Y be defined as Y = Σ Find the probability that Y is larger than 9. Prove that the distribution you use is the exact distribution, nota Central Limit Theorem approximation
Run the following multivariate linear regression models:
Model 1: X3 and X4
Model 2: X2,X3,and X4Model 3: X1, X3 and
X4Discuss the correlation
between each two variables using adjusted R2 and P-value. Write the
estimated equation of Y for each regression model. Briefly comment
of the Residual Plots.
SUMMARY OUTPUT Regression Statistics Tourist arrivals (X3) Residual Plot Mu R Square Adjusted R Square Standard Error Observations 0.77706686 0.60383291 0.58622549 26011267.3 48 ANOVA Significance F 4.6406E 16 2.3203E 16 34.2942181 8.9591E-10...
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