A superior thesis expresses the writer’s purpose behind the text by addressing the , the , and the .

When crafting a superior thesis, state the argument serving as the premise of the essay as a debatable proposal.

When adding Soluble Oil to a machine, it is necessary to check the concentration level. If the mixture is thick from water evaporating, add water appropriately.

What is the code G91?

Tool Radius (R) is half of Tool Diameter (D) Diameter / 2 = Radius

The Four Quadrants of the Work Coordinate System are established by the?

13(1) The variable rdintens is expenditures on research and development (R&D) as a percentage of sales. Sales are measured in millions of dollars. The variable profmarg is the profit as a percentage of sales. We estimate the following regression equation: rdintens = 0.472 + 0.321*log(sales) + 0.05*profmarg Interpret the coefficient on log(sales).

11(2). Suppose that the estimated equation in 11(1) is as follows:  beta1 = 0.047, beta2 = 0.00078, beta3 = 0.019, beta4 = 0.01 Both of person A’s parents have a college education, so pareduc = 32 (the total number of schooling years of her parents). Both of person B’s parents have a high school education, so, pareduc = 24. What is the difference in the estimated return to education holding other factors fixed?

17(i) Let arr86 be a binary variable equal to 1 if a man was arrested during 1986, and 0 otherwise. A linear probability model is: arr86 = 0.441 – 0.162*pcnv + 0.0061*avgsen – 0.0023*tottime – 0.022*ptime86 – 0.0428*qemp86 where pcnv is the proportion of prior arrests that led to a conviction, avgsen is the average sentence served from prior convictions (in months), tottime is months spent in prison since age 18 prior to 1986, ptime86 is months spent in prison in 1986, and qemp86 is the number of quarters (0 to 4) that the man was legally employed in 1986.  How to interpret the intercept 0.441? 

4. Suppose that we estimate a log-log model relating CEO salary to firm sales. How do we interpret the coefficient on log(sales)? Note that the unit of CEO salary is 100,000 log(salary) = 4.822 + 0.257 log(sales)