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)

1. An estimated regression equation is as follows. How do you interpret the coefficient on the variable log(nox)? log(price) =9.23 – 0.718 log(nox) +0.306 rooms

Finding domain and range of the following function

1. An estimated regression equation is as follows. How do you interpret the coefficient on the variable log(nox)? log(price) =9.23 – 0.718 log(nox) +0.306 rooms

Expand the following log expression

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?

Mrs. Claus is a postmenopausal, 71-year-old white female. She lives at the North Pole with Mr. Claus, their 9 reindeer and the elves. Mrs. Claus has had limited exposure to the sun for 6 months of the year. She also has minimal physical activity due to needing to stay indoors during the cold, snowy winters at the North Pole. Mrs. Claus is mildly obese and has no past medical history. The provider wants to start Mrs. Claus on a calcium supplement. Which lab will be the most important to assess prior to Mrs. Claus starting the supplement?