Help please will give 5 stars and amazing feedback! STEPS BY STEPS
Help please will give 5 stars and amazing feedback! STEPS BY STEPS Let Y53X, uiwhere X,...
Help please will give 5 stars and amazing feedback! STEPS BY STEPS Let Y53X, uiwhere X, ~N,1) and ui~ N(0, 1) are independent and 1, 1) and u ~ suppose that you have an i.id. sample of observations (X,,K),i-1,. . . , п. (b) Show that EBo]8.
Help please will give 5 stars and amazing feedback! STEP BY STEPS Let = 5+3Xitu; where Xi ~ N(1,1) and ui ~ N(0,1) are independent and suppose that you have an i.id, sample of observations (X,Y),јн 1, , п. (a) Suppose you run a regression of Y on a constant, omitting X: o-arg min > (Y,-b i-1 Show that Bo Y
Please help!! 5 stars please step by steps and ill leave an amazing comment asap (s) Under the standard OLS asumptions, the estimator jbtained from a regression of y, on X, without a constant is consistent ifAo=0 O True O False (h) Suppose that X, N(0,1) and that X,, i-1,..,n are i.id. Then Vn( -0) is well-approximated by a normal distribution
Help please will give 5 stars and amazing feedback! TRUE OR FALSE AND WHY??? (a) Suppose that X is normally distributed with mean 0 and variance 1. Then 3. X is normally distributed with mean 0 and variance 9 True False b) The CLT states that, in large enough samples, the sample average is close to the true ex- pected value with very high probability. True False (c) The assumption that E(ui| X) 0 implies that Cov(ui, Xi)0. True False
Please help!! 5 stars please step by steps and ill leave an amazing comment asap (e) A 95% confidence interval for A can be computed as [A-1 .96-Var(31), A + 1.96 Var (A)] O True O False (f) Suppose you run a regression of health status (Y) on a binary indicator for whether and individual has health insurance (X). Assuming that the sample is i.i.d. and that large outliers are unlikely, the coefficient has a descriptive interpretation. O True O...
Help please will give 5 stars and amazing feedback! TRUE OR FALSE AND WHY??? (g) Suppose that E(Y | X) 1+2x and that E(X)-2. Then E(Y) 5 True False (h) Suppose that X1 and X2 are independent normal random variables with mean 0 and vari- ance 1. Then (X1 + X2)/2 is normally distributed with mean 0 and variance 1 True False
Help please will give 5 stars and amazing feedback! TRUE OR FALSE AND WHY???
I am looking for a solution for question number 2 ONLY with steps please, so I can find my mistake. 1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the X term as in Assume cov (Xi. Ui)s 0, E [Xn] = 0 and E [x?] = 1 . Is his/her estimate consistent for β? If not, show which OLS assumption fails and discuss potential solutions 2. Assume the structural equation...
2. The linear regression model in matrix format is Y Χβ + e, with the usual definitions Let E(elX) 0 and T1 0 0 01 0 r2 00 0 0 0 0.0 0 γΝ 0 00 Notice that as a covariance matrix, Σ is bymmetric and nonnegative definite () Derive Var (0LS|x). (ii) Let B- CY be any other linear unbiased estimator where C' is an N x K function of X. Prove Var (BIX) 2 (X-x)-1 3. An oracle...
Question 1 Let Y = 1 +2X + u where X = Zn4Z2, u = Z1-22, Z1 and Z2 are independent standard normals. We have iid observations (X,, Y1 from this model. (a) Suppose we run the following regression to obtain the OLS estimator β0Ls. What would you expect the value of β0LS to be when no Please give a numerical answer (b) Suppose we run the following regression to obtain the OLS estimator γ0Ls. What would you expect the...