Heteroskedasticity Test: Breusch-Pagan-Godfrey
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- J 1 explain Diagnostic Test On Normality, Heteroscedasticity And Multicollinearitythis is an econometrics question please consider thatWhich is a continuous random variable? X = "number of petals on a sunflower" Z = "results of drawing three cards from a standard deck of cards" W = "number of apps on your phone" Y = "exact age of your classmates"
- Based on the residual plot below, which of the following statements is TRUE? Residual Plot 7. 8. The pattern in the residual plot above indicates that we do not have an issue with Heteroskedasticity. The pattern in the residual plot above indicates that we do have an issue with Heteroskedasticity. The pattern in the residual plot above indicates that we do have an issue with Endogeneity or Omitted variables. The pattern in the residual plot above indicates that we do have an issue with Multicollinearity. The pattern in the residual plot above indicates that we do not have an issue with Multicollinearity. residual ..A random sample of size n= 17 is obtained from a normally distributed population witha population mean of u= 100 and a variance o = 20. What is the probability that the sample variance is greater than 55? E Click here to view a table of upper critical values for the chi-square distribution. The probability is between 0.01 and 0.025 between 0.05 and 0.10. less than 0.001. between 0.025 and 0.05. between 0.001 and 0.01. greater than 0.10. 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 0.5199 0.5239 0.5279 0.5319 0.5359 0.1 0.5398 0.5438 0.5478 0.5517 0.5557 0.5596 0.5636 0.5675 0.5714 0.5753 0.2 0.5793 0.5832 0.5871 0.5910 0.5948 0.5987 0.6026 0.6064 0.6103 0.6141 0.3 0.6179 0.6217 0.6255 0.6293 0.6331 0.6368 0.6406 0.6443 0.6480 0.6517 0.4 0.6554 0.6591 0.6628 0.6664 0.6700 0.6736 0.6772 0.6808 0.6844 0.6879 0.5 0.6915 0.6950 0.6985 0.7019 0.7054 0.7088 0.7123 0.7157 0.7190 0.7224 0.6 0.7257 0.7291 0.7324 0.7357 0.7389 0.7422 0.7454 0.7486 0.7517…(CLT approximation) Suppose that X is a r.v. with mean 6 and variance 10, and X1,...,X100 are i.i.d. copies of X. (a) Use the Central Limit Theorem to approximate P (?100 Xi ≥ 1000). i=1 (b) Suppose that ?ni=1 Xi = 28. Use the Central Limit Theorem to compute (1 − α) approximate confidence intervals for α = 0.05.
- iid • For a random sample Y1,...,Yn f (y; 0), define the following: the likelihood function; the score function; the Fisher information in the sample about 0; the Cramer-Rao lower bound for the variance of estimators of 0; the moment estimator of 0; the maximum likelihood estimator of 0. • What does it mean to say that 0 is an efficient estimator? • What is the invariance property of MLES?You decided to sell your old cell phone for 1000 TL. Referring to your Probability and Statistics lecture notes you conclude that the demand for your phone will have a Poisson distribution with parameter lambda- What is your expected revenue from this sale? Hint: You sell the phone if there is at least one demand, and you can't sell it otherwise. O TL 18111 368 TL 482 TL 1000 TL 632 TLLA random sample of size 50 is taken from a geometric distribution with a parameter 0.45. Find the variance of the sample mean. (X-bar)
- deviation of x to 5? Explain to someone who knows nothing about statistics the measurement to reduce the standard advantage of of a single measurement. reporting the average of several measurements rather than the result A sample of young men, continued. Suppose that the blood cholesterol levels of all men age 20 to 34 years follows the Normal distribution with mean per deciliter (mg/dl) and standard deviationo =41 mg/dl. M = u = 188 milligrams 13.5Using the z table, find the critical value (or values) for an α = .024 left-tailed test.2 decimal places only