Consider the multiple regression model with three independent variables, under the classical linear model assumptions MLR.1 through MLR.6: y 5 b0 1 b1x1 1 b2x2 1 b3x3 1 u. You would like to test the null hypothesis H0: b1 2 3b2 5 1. (i) Let b^ 1 and b^ 2 denote the OLS estimators of b1 and b2. Find Var 1b^ 1 2 3b^ 2 2 in terms of the variances of b^ 1 and b^ 2 and the covariance between them. What is the standard error of b^ 1 2 3b^ 2

the answer is ! ?

step-by-step explanation:

given that ab is divided into equal parts as

ac, cd, de, ef, fg, gh, hi, ib.

from this we find that f is the midpoint of ab.

so using mid point formula we find

f = (3,7)

similarly considering fb, we get

h = mid point of fb = ((6,6) and g, mid point of fh is

g = (9/2, 13/2)

i is mid point of hb

so i =(15/2,11/2)

given : the shape of his satellite can be modeled by   where x and y are modeled in inches.

now,the given equation   is a equation of parabola.

here, coefficient of x is positive, hence the parabola opens rightwards.

on comparing this equation with standard equation , we get

in standard equation, coordinates of focus=(0,m)

thus for given equation coordinates of focus=(0,1.5)

step-by-step explanation: