For this exam, you will use a dataset of employees (collected with a very old fake survey) at a (manipulated and therefore fictional) firm with multiple locations across the U.S. The variables are as follows: Variable Description wage Weekly wage in $ [mean=957.95, SD=404.4] hours Hours worked per week IQ IQ score in points educ Years of education exper Years of work experience tenure Years at current job location age Age in years married =1 if married; =0 if not black =1 if Black; =0 if not south =1 if lives in south; =0 if not urban =1 if lives in metro area; =0 if not lwage Natural log of wage Calculate boxes A-G in the Stata output below (note, you may skip E or answer for one extra credit point). Round your final answer to two decimal places. Complete the work on a piece of paper or in a word document — you will have to submit your work in the next question. A: [A] B: [B] C: [C] D: [D] E: You may ignore this blank, or complete for one extra credit point [E] F: [F] G: [G]

“When Star Company increases its production of gizmos, it finds that its average total cost of producing gizmos decreases. From this we can infer Star’s marginal cost of producing a gizmo is”

Plant, animal, and fungal cells are all ____________.

The plasma membrane is made mainly of

Because fermentation takes place in the absence of oxygen it is said to be _______________.

If you cross a TALL looking pea plant with a TALL looking pea plant & get both TALL & SHORT looking offspring, then BOTH parents must be _______.

Interpret the coefficient on urban. 

Which of the following is NOT a true statement about ATP?

In the data, an individual with 15 years of education earns $1154/week. What is this person’s residual? Show your work here, in the space provided, by typing your calculations and final answer.

IQ_cat is a new, categorical variable that divides IQ into quartiles. In other words, 1 indicates the respondent is in the bottom quarter of the distribution, 2 indicates the respondent is between the 25th and 50th percentile, 3 indicates the respondent is between the 50th and 75th percentile, and 4 indicates the respondent is in the top quarter of the distribution (so, those in category 4 are the “smartest”, assuming you trust IQ tests). You are interested in whether there is a relationship between IQ quartile and whether the respondent lives in a metro area as the first step in a broader analysis of the distribution of employees across different locations. So, you run the following in Stata: State the null and alternative hypotheses for this chi-square test.