A linear regression between Y and X produced the following equation for the least squares line: Y hat = 2.15 - 3.2x Which of the following statements concerning this relationship is true? a. For every one-unit increase in X, Y increases 3.2 units. b. For every one-unit increase in Y, X decreases 3.2 units. c. For e
The following data relate the sales figures of the bar in Marty and Polly Starr's small bed-and-breakfast inn in Marathon, Florida, to the number of guests registered that week: Week Guests Bar Sales 1 16 330 2 12 270 3 18 380 4 14 300 a) Perform a linear regression that relates bar sales to guests (not to time). b
Please use Excel when necessary: Management has collected data on the size of five work groups(X) and the number of complaints per month (Y) received by the organization from each group. A regression was run using as the independent variable the size of the work group(number of employees in the work group) to predict the numb
Problem # 10 You are the manager of a firm that sells a leading brand of alkaline batteries. The accompanying Excel file contains data on the demand for your product. Specifically, the file contains data on the natural logarithm of your quantity sold, price, and the average income of consumers in various regions around the worl
Linear Regression (example problem) Boeing and McDonnell Douglas from the United States, and Airbus Industrie, the European consortium, dominate the global aerospace industry. During the early 1990's, the end of the cold war with the Soviet Union led to a dramatic downshifting in orders for military related purchases at the
A movie studio wishes to determine the relationship between the revenue from the rental of comedies on DVD and videotape and the revenue generated from the theatrical release of such movies. The studio has bivariate data from a sample of comedies released over the past five years. These data give the revenue from theatrical re
Inferences in Regressin and Corelation Analysis. Please make sure not to jump in big steps, I need to know how to solve these, thanks, It would be nice if you would give some explanation to your steps when you solve these. 1. Derive the property in for the ki. 2. Show that bo as defined in is an unbiased estimat
Sporty Inc., a regional chain of sporting goods stores, wants to investigate why some of their stores in university towns have higher sales than other stores. Accordingly, they randomly sampled stores nationwide and collected information on yearly sales ($1000s), yearly advertising expenditures ($1000s), number of students at t
The regression equation is number of invoices per month = 138 + 0.000087 amount of sales Predictor Coef SE Coef T P Constant 137.78 31.61 4.36 0.001 S= 10.7058 R-Sq=82.4% R-Sq(adj) = 80.7% Regression 1 5380.5 5380.5 46.95 0.000 Residual error 10 1146.1 114.6 Total 11 6526.7 AMOUNT OF SALES NUMBER OF I
The chairman of the marketing department at a large state university undertakes a study to relate starting salary after graduation for marketing majors to grade point average (GPA) in major courses. To do this, records of 7 recent marketing graduates are selected randomly and the results are shown in the table below. Market
Regression questions