In a multiple regression model y' = -3 + 5x1 + 3x2 + 5x3 + 4x4, if the value of x2 increases by 4 and the value of x3 decreases by 2, and the other two variables do not change, then the predicted value for y will change by how much?
The south fork Feed Company makes a feed mix from four ingredients--oaks, corn, soybean, and vitamin supplement. The company has 300 pounds of oats, 400 pounds of corn, 200 pounds of soybeans, and 100 pounds of vitamin supplements available for the mix. The company has the following requirments for the mix: -At least 30% of t
Customers enter the waiting line at a cafeteria on a first-come, first-served basis. The arrival rate follows a Poisson distribution, while service times follow an exponential distribution. If the average number of arrivals is four per minute and the average service rate of a single server is seven per minute, what is the averag
Using data in Table 6.17, first run a canonical discriminant analysis. If you are using SAS, you can either use proc discrim or proc candisc. Foe either one (e.g. candisc), specify the following in the pro statement. See attachments for remaining question.
not sure how to figure out the last part predict the final grade of the student, if I could get a formula that would help 8. You are given the following data. Number of Absences Final Grade 0 95 1 91 2 82 3
Sandford Tile company makes ceramic and porcelain tile for residentail and commercial use. They produce three different grades of tile for walls, residential flooring, and commercial flooring each of which requires different amounts of materials and production time and generates different contribution to profit. The spreadsheet
Below are the values for diastolic and systolic blood pressure for 10 people: Diastolic: 90 80 90 78 76 78 80 70 76 74 Systolic: 130 126 140 118 114 112 120 110 114 116 Using Excel, construct a scatterplot that shows the relationship between the two variables. Copy
Open the Cons Trans 59 - 00.xls file. Use the BEA consumption and transfers data to investigate whether heteroscedasticity or autocorrelation is present in the model using the graphical approach (consumption as the dependent variable). Which answer best represents the degree of autocorrelation in the model? Using EXCEL or PHStat
Understanding the results of the chi test calculations is where I am stuck. It is taking longer for statistics too sink in, and I am glad that you understand my dilemma. Thanks,
Please help with the following problem. Consider the following quote: "Without good measurement, statistical analysis is worthless." Do you believe it is an overgeneralization, or do you think it is accurate as written? Provide examples to clarify and support your position.
Your consulting company was hired by a sports league office to build a model that related attendance over a season for their teams to all the various factors that affect attendance. They wanted to use this model to evaluate expansion opportunities, to see whether the cities being proposed were likely to support good attendance.
** Please see the attachment for the complete problem description ** A suburban hotel derives its gross income from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days
Please choose the correct answer and write briefly why: A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0ppm. It is believed that the standard deviation is 0.5. ppm
Four key marketing decision variables are price (P), advertising (A), transportation (T), and product quality (Q). Consumer demand (D) is influenced by these variables. The simplest model for describing demand is n terms of these variables is: D = k â?" pP +aA + tT +qQ Where k, p, a, t, and q are constants. Discuss the
I don't understand what internal and external threats are and could you provide some examples of what would be considered a threat to internal and/or external validity of a study design.
Research wireless cell phone using systematic sampling for its simplicity: Any individuals of any age who is a customer with a data plan under various cellular phone carriers will be randomly selected from the lists acquired from these cell phone carriers. The population to be analyzed is 2,000 cell phone users, and a sample of
WidgeCorp is considering branching out into hot beverages. You have been asked to come up with a regression model to forecast monthly sales of hot beverages for the next year. Think about what variables you might include in your model. Your manager asks for your thoughts. Respond to anybody who asks you to explain your va
Please reference the attachment and respond to questions 1, 2, 3, 4 & 5 on page 137, questions 1, 2, & 3 on page 269, and question 10 on page 271. For your convenience, the assigned questions are circled. Questions involve cost of quality, shape and position, minimum total cost, scatter diagram, electronic components, and con
Calculate s2 and s. Marketing Graduate: GPA, X: Starting Salary, Y (Thousands of Dollars): 1 3.26 33.8 2 2.6 29.8 3 3.35 33.5 4 2.86 30.4
Plant Equipment Corporation (PEC) manufactures two large industrial machines--a metal compactor and a drill press. Next month PEC will convert its production facilities to produce new machine designs and will cease producing the current models. PEC must determine its production schedule for this month, however, PEC could sel
If the regresion line between x (score on manual dexterity) and y (units produced per hour) is, ? = 19.2 + 3.0x, then the estimated productivity for a score of 15 will be: 1.) 64.2 2.) 15.0 3.) 45.0 4.) 19.2 5.) 3.0
Consider the following data values of variables x and y X - 4 2 6 4 3 y - 5 3 7 6 5 The equation of the least-squares regression line for this data is 1.) ? = 1.659 + 0.932x 2.) ? = 0.1726 + 1.323x 3.) ? = 7.248 - 0.539x 4.) ? = -1.046 + 0.932x 5.) ? = 0.932 + 1.659x
1. A chocolate store has contracted to operate a small candy counter in a fashionable store. To start with, the selection of offering will be intentionally limited. The counter will offer a regular mix candy that is equal parts of cashews, caramels, and chocolates, and a deluxe mix that is one-half cashews and one-half chocolate
What information is provided by the numerical value of the Pearson Correlation? For the following scores, x y ---------------- 3 12 6 7 3 9 5 7 3 10 --------------- a) Compute the Pearson Correlation. b) With a small sample, a single point can have a large effect
Valley Fruit Products Company has contracted with apple growers in Ohio, Pennsylvania, and New York to purchase apples that the company then ships to its plants in Indiana and Georgia, where they are processed into apple juice. Each bushel of apples produces 2 gallons of apple juice. The juice is canned and bottled at the plan
See attached file.
1. The production manager for Beer Etc. produces 2 kinds of beer: light (L) and dark(D). Two resources used to produce beer are malt and wheat. He can obtain at most 4800 oz of malt per week and at most 3200 oz of wheat per week respectively. Each bottle of light beer requires 12 oz of malt and 4 oz of wheat, while a bottle o
Linear programming - The elizer Drug company produces a drug from two ingredients. each ingredients contain the same three antibiotics, in different proportions. One gram of ingredient 1 contribute 3 units, and 1 gram of ingredient 2 contrbutes ...
The elizer Drug company produces a drug from two ingredients. each ingredients contain the same three antibiotics, in different proportions. One gram of ingredient 1 contribute 3 units, and 1 gram of ingredient 2 contrbutes 1 unit of antibiotic 1; the drug requires 6 units. At least 4 units of antibiotic 2 are required, and the
Compare two models. Model #1 has an r-squared of .55 and an adjusted r-squared of .50. Model #2 has an r-squared of .52 and an adjusted r-squared of .51. Given this information, what model should you use? a) Use model 1 because r-squared is higher b) Use model 2 because adjusted r-squared is higher c) Use model 1 becau
Assume X(t) is a wide-sense stationary random process with autocorrelation function RX(τ), and that Y(t) is a random process defined by Y(t)= -X(t-t0) where t0 is a constant. The autocorrelation function RYY(t1,t2) of Y(t) is given by what?