Question

12) 12) We run a regression with OLS and wish to check that the standardized residuals follow a normal distribution. There ar
0 0
Add a comment Improve this question Transcribed image text
Answer #1

JB Test statistic can be calculated as below

N/6(S^2+(K)^2/4)

N=801 , S=0.188, K=0.605

JB test statistic is (801/6)(0.188^2+(-2.395)^2/4)=16.94

According to ciritical table used by JB we have critical value for 5% significance level equals to 5.991 hence test statistic is greater than critical value

Therefore we can reject the null that sample of residuals is normal

Option C is correc t

Add a comment
Know the answer?
Add Answer to:
12) 12) We run a regression with OLS and wish to check that the standardized residuals...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Suppose that you estimate a multiple regression model using OLS using a sample of 60 observations....

    Suppose that you estimate a multiple regression model using OLS using a sample of 60 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is _______ and we ______ reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. 10; cannot 10; can 5; cannot 5; cannot

  • Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a...

    Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is __and we reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. 5; cannot O 10; cannot 10; can 5; cannot

  • Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a...

    Question 15 3 pts Suppose that you estimate a multiple regression model using OLS using a sample of 120 observations. The skewness of the residuals is 0.5 and the excess kurtosis is 1. As a result, the value of the Jarque-Bera test is __and we reject the null hypothesis of normally distributed disturbances at the 5-percent level of significance. O 5; cannot O 10; can 5; cannot 10: cannot Question 16 3 pts

  • Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently...

    Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, the coefficients on the included variables will always be biased. the coefficients on the included variables will always be unbiased, but the standard errors and test statistics will be biased. there is no effect on the coefficients of the included variables since the omitted variable has been omitted. the coefficients...

  • Can someone please help solve this, its econ with stats Question 14 3 pts Suppose that...

    Can someone please help solve this, its econ with stats Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with the dependent variable. In this case, O the coefficients on the included variables will be unbiased if the included variables are not correlated with the omitted variable. O the coefficients on the included variables will always be biased. Othere is no effect on the coefficients of...

  • Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which...

    Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which takes on the value of 1 for males and is 0 otherwise, and another binary variable (“Female”) which takes on the value of 1 for female and is 0 otherwise. Because females typically earn less than males, you would expect: Group of answer choices autocorrelation or serial correlation to be a serious problem. the estimated coefficient for Male to have a positive sign, and...

  • Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit...

    Question 4 (3 points) The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is: Y = Bo + B. Speed+B Angle If the level of significance, alpha, is 0.10, based on the output shown, is Angle statistically significant in the multiple regression model shown above? Select one. OLS Regression Results ==================================== ========== 0.978...

  • Question 13 3 pts Consider three data series, each a random sample of seven observations (n...

    Question 13 3 pts Consider three data series, each a random sample of seven observations (n = 7): Series 1: {1, 1, 1, 3, 5, 5, 5} Series 2: {1, 1, 3, 3, 3, 5, 5} Series 3: {1, 3, 3, 3, 3, 3, 5} The interquartile range of Series 3 is: 4 0 3 2 Question 14 3 pts Suppose that you estimate a multiple regression model, but that you inadvertently omit an explanatory variable that is correlated with...

  • Question 2: Suppose that we wish to fit a regression model for which the true regression...

    Question 2: Suppose that we wish to fit a regression model for which the true regression line passes through the origin (0,0). The appropriate model is Y = Bx + €. Assume that we have n pairs of data (x1.yı) ... (Xn,yn). a) From first principle, derive the least square estimate of B. (write the loss function then take first derivative W.r.t coefficient etc) b) Assume that e is normally distributed what is the distribution of Y? Explain your answer...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT