Structured observation is used in both qualitative and quantitative research.   True False

The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?

The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?

Do the sales prices of houses in a given community vary systematically with their sizes (as measured in square feet)? Answer this question by estimating a simple regression equation where the sales price of the house is the dependent variable, and the size of the house is the explanatory variable. Use the sample data given in P13_06.xlsx. Interpret your estimated equation, the associated R-square value, and the associated standard error of estimate.

Management of a home appliance store wants to understand the growth pattern of the monthly sales of a new technology device over the past two years. The managers have recorded the relevant data in the file P13_05.xlsx. Have the sales of this device been growing linearly over the past 24 months? By examining the results of a linear trend line, explain why or why not.

The file P14_01.xlsx contains data on 100 consumers who drink beer. Some of them prefer light beer, and others prefer regular beer. A major beer producer believes that the following variables might be useful in discriminating between these two groups: gender, marital status, annual income level, and age. a. Use logistic regression to classify the consumers on the basis of these explanatory variables. How successful is it? Which variables appear to be most important in the classification? b. Consider a new customer: Male, Married, Income 42,000, Age 47. Use the logistic regression equation to estimate the probability that this customer prefers Regular. How would you classify this person?

Cousins Jeri Lynn DeBose, Tish Hoover, and Josephine (Joey) Parks looked forward to meeting up during the Christmas holidays to compare notes on the results of midyear teacher evaluations. All were public school teachers in districts scattered over the state. In the pressured search for new levels of teacher accountability demanded by legislators, the state department of education joined 16 other States in implementing a new teacher evaluation system. The goal is to hold teachers account-able for student learning progress in the classroom. Under the guidance of the National Council for Teacher Quality, criteria varies by State, but in most cases, 40 percent of each teacher's accountability score would be based on the principal's evaluation and ranking based on personal observation, 30 percent would be based on personal observation by a master teacher from outside the district, and the Other 30 percent would be based on student test score gains. The state department of education would set a performance goal each school district, and the principal would set a performance goal for each teacher. In preparation, the State conducted intensive training sessions for principals and designated master teachers who would conduct the evaluations based on four class observations per teacher. Officials used standardized achievement tests to derive value-added scores that measure student learning over the year. Teacher ratings were 1-5, with I am being the lowest and 5 representing near perfection. The publication of the first year's evaluations stirred interest and controversy, particularly among teachers who worried about the possible long-term effects on job retention and tenure. Now, with the first-year evaluations in hand, the three cousins pored over their experiences. The three represented different types of school systems within the state. Jeri Lynn worked for a metropolitan system in the state capital. The system included many low-income students whose first language was nor English, and several schools within the system were teetering on the brink of State takeover if improvement in student scores didn't materialize this school year. Tish worked in a county System dominated by upper-income residents, and Joey taught in the rural community in which all three grew up. The rural community had high unemployment, and a low percentage of graduates went on to college. As a result, the cousins came to the table with differing teaching experiences. "The numbers are all over the place," Jeri Lynn remarked as she studied the pages. "The whole system is flawed, and they need to make changes," Joey said. " It's too subjective. The principal and master teacher observations are subjective because there are personal factors that affect a true outcome." "Yeah, look at the numbers from your upper-income district," Jeri Lynn said to Tish. " How can 60 percent of the teachers score 5s?" Tish chuckled. "Yeah, lucky us. Our schools are overflowing with children from wealthy families. These are the kids who will apply to Ivy League schools. I can tell you that the principals are going to avoid confrontation on all fronts. No principal is going to give any indication that their students are receiving an education that's less than perfect, and that means cramming the rankings with 5s. They claim a higher level of motivation for students, and thus the selection of an elite team of educators. So with those pressures, I don't think we get personal feedback that IS accurate." "At the other end of the spectrum, we have my rural district," Joey said. "The big problem is that the principals know everyone and have longstanding relationships with everyone in the county, so I think scores are based on personal history. We could almost predict who would get high or low scores before the observations. For principals, it can go back as far as 'his daddy and my daddy hated each other in high school, and now I get to evaluate his daughter." "I think that in many cases, principals feel pressure to align scores with state expectations. The stare expected my district to have high scores and expected rural schools such as yours to be lower," Tish said. "But isn't that partially offset by lower goals for the rural school distracts responded Joey. "The key to the accountability system is the principal in each school," Jeri Lynn suggested. "With several of the schools in Metro teetering on the edge of state takeover by the end of the year, we had lots of strict principals who wanted to hold our feet to the fire with lower scores." "I thought the whole idea was to provide the teachers With feedback so that we would know the areas where we need improvement," Tish said. "The principals were supposed to conduct two observations in the fall and two more in the spring," Jeri Lynn said. think that's asking too much of them when they already have so much on their plates. I think a lot of them are skimping on their visits. know I only had one observation last semester, and I'm sure Mr. Talley just faked the second set of numbers. The master teachers make only two observations a year, which may be more objective but counts for less." "I'm wondering, too, how a principal measure performance in a course area outside his area of expertise, such as math," Joey said. "If the guy has a phobia about math, anything the teacher says or does is going to 100k brilliant—thus a 5." Tish and Jeri Lynn looked at each other and laughed. Maybe we picked the wrong subjects," Tish said. "My question is one of perception," Jeri Lynn said. "A large percentage of my students are ELL. That affects their scores. How do you measure a 3 in my situation against a 5 for Tish? At the end of the school year, little Carlos is thrilled that his reading in English has improved, but there's no Big Bang here. a slow steady improvement that may not actually show up in big strides for a couple of years." "So, the question is how do they create a system that is fair?" Tish asked. "And accurate," added Jeri Lynn. Is a 1-5 grading System by principals and master teachers a valuable part of a feedback control system for teachers? Why?

Cousins Jeri Lynn DeBose, Tish Hoover, and Josephine (Joey) Parks looked forward to meeting up during the Christmas holidays to compare notes on the results of midyear teacher evaluations. All were public school teachers in districts scattered over the state. In the pressured search for new levels of teacher accountability demanded by legislators, the state department of education joined 16 other States in implementing a new teacher evaluation system. The goal is to hold teachers account-able for student learning progress in the classroom. Under the guidance of the National Council for Teacher Quality, criteria varies by State, but in most cases, 40 percent of each teacher's accountability score would be based on the principal's evaluation and ranking based on personal observation, 30 percent would be based on personal observation by a master teacher from outside the district, and the Other 30 percent would be based on student test score gains. The state department of education would set a performance goal each school district, and the principal would set a performance goal for each teacher. In preparation, the State conducted intensive training sessions for principals and designated master teachers who would conduct the evaluations based on four class observations per teacher. Officials used standardized achievement tests to derive value-added scores that measure student learning over the year. Teacher ratings were I —5, with I am being the lowest and 5 representing near perfection. The publication of the first year's evaluations stirred interest and controversy, particularly among teachers who worried about the possible long-term effects on job retention and tenure. Now, with the first-year evaluations in hand, the three cousins pored over their experiences. The three represented different types of school systems within the state. Jeri Lynn worked for a metropolitan system in the state capital. The system included many low-income students whose first language was nor English, and several schools within the system were teetering on the brink of State takeover if improvement in student scores didn't materialize this school year. Tish worked in a county System dominated by upper-income residents, and Joey taught in the rural community in which all three grew up. The rural community had high unemployment, and a low percentage of graduates went on to college. As a result, the cousins came to the table with differing teaching experiences. "The numbers are all over the place," Jeri Lynn remarked as she studied the pages. "The whole system is flawed, and they need to make changes," Joey said. " It's too subjective. The principal and master teacher observations are subjective because there are personal factors that affect a true outcome." "Yeah, look at the numbers from your upper-income district," Jeri Lynn said to Tish. "How can 60 percent of the teachers score 5s?" Tish chuckled. "Yeah, lucky us. Our schools are overflowing with children from wealthy families. These are the kids who will apply to Ivy League schools. I can tell you that the principals are going to avoid confrontation on all fronts. No principal is going to give any indication that their students are receiving an education that's less than perfect, and that means cramming the rankings with 5s. They claim a higher level of motivation for students, and thus the selection of an elite team of educators. So with those pressures, I don't think we get personal feedback that IS accurate." "At the other end of the spectrum, we have my rural district," Joey said. "The big problem is that the principals know everyone and have longstanding relationships with everyone in the county, so I think scores are based on personal history. We could almost predict who would get high or low scores before the observations. For principals, it can go back as far as his daddy and my daddy hated each other in high school, and now I get to evaluate his daughter "I think that in many cases, principals feel pressure to align scores with state expectations. The stare expected my district to have high scores and expected rural schools such as yours to be lower," Tish said. "But isn't that partially offset by lower goals for the rural school distracts responded Joey. "The key to the accountability system is the principal in each school," Jeri Lynn suggested. "With several of the schools in Metro teetering on the edge of state takeover by the end of the year, we had lots of strict principals who wanted to hold our feet to the fire with lower scores." "l thought the whole idea was to provide the teachers With feedback so that we would know the areas where we need improvement," Tish said. "The principals were supposed to conduct two observations in the fall and two more in the spring," Jeri Lynn said. think that's asking too much of them when they already have so much on their plates. I think a lot of them are skimping on their visits. know I only had one observation last semester, and I'm sure Mr. Talley just faked the second set of numbers. The master teachers make only two observations a year, which may be more objective but counts for less." "I'm wondering, too, how a principal measure performance in a course area outside his area of expertise, such as math," Joey said. "If the guy has a phobia about math, anything the teacher says or does is going to 100k brilliant—thus a 5." Tish and Jeri Lynn looked at each other and laughed. Maybe we picked the wrong subjects," Tish said. "My question is one of perception," Jeri Lynn said. "A large percentage of my students are ELL. That affects their scores. How do you measure a 3 in my situation against a 5 for Tish? At the end of the school year, little Carlos is thrilled that his reading in English has improved, but there's no Big Bang here. a slow steady improvement that may not actually show up in big strides for a couple of years: "So, the question is how do they create a system that is fair?" Tish asked. "And accurate," added Jeri Lynn. What do you see as the major strengths and flaws in the feedback control system used in the schools in this scenario? What changes do you recommend to overcome the flaws?

Management of a home appliance store would like to understand the growth pattern of the monthly sales of Blu-ray disc players over the past two years. Managers have recorded the relevant data in the file P13_33.xlsx. a. Create a scatterplot for these data. Comment on the observed behavior of monthly sales at this store over time. b. Estimate an appropriate regression equation to explain the variation of monthly sales over the given time period. Interpret the estimated regression coefficients. c. Analyze the estimated equations residuals. Do they suggest that the regression equation is adequate? If not, return to part b and revise your equation. Continue to revise the equation until the results are satisfactory.