When there are omitted variables in the regression, which are determinants of the dependent variable, then: a. you cannot measure the effect of the omitted variable, but the estimator of your included variable(s) is (are) unaffected. b. this has no effect on the estimator of your included variable because the other variable is not included. c. this will always bias the OLS estimator of the included variable. d. the OLS estimator is biased if the omitted variable is correlated with the included variable.

(d)

step-by-step explanation:

given: the line in the graph passes through points (5,30) and (6,26).

then, the equation of line is:

now, put y=a(n) and x=n,

hence, option d is correct.

sadsdda

step-by-step explanation:

no oblique asymptote

step-by-step explanation:

to find the oblique asymptote of f(x)

here numerator has degree 1 and denomintor degree 2

degree of numerator < degree of denominator

hence there is no oblique asymptote

when the degree of the denominator > that of the numerator, we saw that the value in the denominator got so much bigger, so quickly,   giving us a horizontal asymptote of the x-axis. or we can write

f(x) = a polynomial of x + a proper fraction.

in this case only we have oblique asymptotes but not when numerator has less degree.

192/15 = 12.8.

12.8

step-by-step explanation:

192/15 is 12.8.

however, it says to round to the nearest foot, which would equal 13.