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SUTVA requires

Consider linear-log regression of Y on X, using the model

The following graph shows one component of a decomposed time series (Johnson & Johnson’s earnings per share); which component does it most look like?

Let Y denote a firm’s profit margin as a decimal/proportion, where typical values in the industry you’re studying are from Y=0.00 to Y=0.15; for example, Y=0.08 means 8% profit margin. Let X denote the firm’s share of employees who have an economics degree as a decimal/proportion; for example, X=0.15 means 15%. You run OLS, computing a slope estimate of 0.0002 and 95% CI of [-2.0202, 2.0202]. Among the following, the most reasonable interpretation is:

You compute the AIC for AR(p) models for lag lengths p=0,1,2: AIC(0) = -3.4, AIC(1) = -3.5, AIC(2) = -3.4. According to AIC the best among these models is

Your company wants to learn the effect on worker productivity of blocking Facebook on work computers. They form pairs of similar workers and randomly pick 1 of the 2 workers in the pair to block from Facebook. Imagine they can measure Y, the productivity difference in hours per day; i.e., the blocked worker’s productive work time minus the non-blocked worker’s productive work time. From their sample, their estimate of E(Y) is 0.98, and the CI is [-1.02, 2.98].  Among the following, the most reasonable interpretation is:

The first (top) forecast is clearly better because

Consider the question, “What is the mean daily return (%) of a certain stock on the day after the overall market (S&P 500 index) increases, minus the mean daily stock return the day after an overall decrease?” This question primarily concerns

Which of the following is a chemical mediator that promotes inflammation?

Blood leaving the right ventricle would flow through which of the following structures in order?