Please help!! 5 stars please step by steps and ill leave an amazing comment asap
Ans:
e)False
We use t distribution for slope coefficient,not z.
Also,critical t value depends on degree of freedom(i.e. df=n-1)
f)False
If the t-test for a regression coefficient is not statistically significant, it is not appropriate to interpret the coefficient. A better alternative might be to say, "No statistically significant linear dependence of the mean of Y on x was detected.
Please help!! 5 stars please step by steps and ill leave an amazing comment asap (e)...
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
Please help, 5 stars and a great comment right away!!! (d) Suppose that A-10 and that Var(A)-4. Then the t-statistic for testing Ho : A-7 against Hi : β, 7 is equal to 1.5. True False (e) Suppose that Yi,i = 1, . . . ,n is an i.i.d. sample with E (Y) = μγ. The sample average Ỹn is an unbiased estimator for μΥ True False (f) An unbiased estimator is consistent. True False
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. (c) Show that β〉, 3, where A is the standard OLS estimator from a regression 01% on X., including a constant Hint: You can use the tollowing result from the lecture without proof: Var(%)
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 and a great comment right away!!! (g) E(Xi | Y) = 1 implies that Cov(X,K) = 0. True False (h) Suppose that Xi,... , Xio are independent normal random variables with mean 1 and vari- ance l. Then Σί01 Xi is normally distributed with mean 10 and variance 10. True euc False