Consider the population regression of log earnings (y, where y= in(earnings)l against two binary variables: whether a worker is married (d1 where d1= 1 if the person is married) and the worker's gender where(d2,where d2=1 if the person is female), and the product of the two binary variables y= β0+1d1+β2d2+β3(d1xd2) + μ. the interaction word (d1 x d2)a) allows the population effect on log earnings of being married to depend on gender b) does not make sense since it could be zero for married males c) indicates the effect of being married on log earnings d) cannot be estimated without the presence of a continuous variable

In this problem, we explore the effect on the standard deviation of multiplying each data value in a data set by the same constant. consider the data set 14, 6, 8, 15, 15. (a) use the defining formula, the computation formula, or a calculator to compute s. (round your answer to one decimal place.) s = 4.28 (b) multiply each data value by 3 to obtain the new data set 42, 18, 24, 45, 45. compute s. (round your answer to one decimal place.) s = 12.83 (c) compare the results of parts (a) and (b). in general, how does the standard deviation change if each data value is multiplied by a constant c? multiplying each data value by the same constant c results in the standard deviation remaining the same. multiplying each data value by the same constant c results in the standard deviation being |c| times as large. multiplying each data value by the same constant c results in the standard deviation increasing by c units. multiplying each data value by the same constant c results in the standard deviation being |c| times smaller. (d) you recorded the weekly distances you bicycled in miles and computed the standard deviation to be s = 3.8 miles. your friend wants to know the standard deviation in kilometers. do you need to redo all the calculations? yes no given 1 mile ≠1.6 kilometers, what is the standard deviation in kilometers? (enter your answer to two decimal places.)