31. Which of the following mathematical relationships could be found in a linear programming model? Choose YES if the relationship could be, and NO if it could not. A. YES B. NO -28B + 7A = 45 1. A or B 12B - A â?¤ 10 2. A OR B AB > 10 3
Scenario: A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weight as the independent variable. Which of these two models is better? Exp
Quantitiative Methods: Linear regression, correlation coefficient, squared residuals (See attached files).
See attached files. Only questions 4 through 10 are required. Consider the linear regression equation which predicts expenditures on imported goods based on personal disposable income. They are both measured in billions of 1982 dollars. Y'=-261.09+0.2453xt (31.327) (0.0147) to=8.33 and t1=16.616 4. According to
See attached file. Four Linear Programming problems: A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours, and assembly line 2 has 42 available hours. Each product requires 10 hrs of processing time on line 1, while on line 2 product 1 requires 7 hours and product
A simple linear regression equation, Y=a be, estimated a computer program, produced output: Dependent Variable:S R- Square F-Ratio P-Value On F Observations: 25 0.7482 68.351 0.0001 Variable Parameter Standard Estimate Error T-Ratio
Application of simple linear regression analysis to the estimation of a demand equation has yielded the following Q = 24 - 2P If the current product price is P=$6 and the quantity sold per time period is Q = 10, then the erro (e) for the current time period is equal to (actual quantity sold - estimated quantity sold)? 1
If the t ratio for the slope of a simple linear regression equation is equal to 1.614 and the critical value of the t distribution at the 1% and 5% levels of significance, respectively, are 3.499 and 2.365 is the slope: not significantly different from zero significantly different from zero at both the 1% and 5% levels sign
A company is interested in knowing which are the potential sales next year if you use $ 20,000 in advertising expenses. The company uses the information from previous years to make its sales forecast. The data are: Year Sales Advertising $000 $ 000 1 15 2 2 25 3 3 45
Maxwell Manufacturing makes two models of felt tip marking pens. There are 3 processing steps required for the pen production. Times (hours) are given in the table below. Capped Clickable Available Extrusion 3 5 45 Ink Fill 4 2 36 Molding 4 1 30
Problem 11-17 Horizon Wireless, a cellular telephone company, is expanding into a new era. Relay towers are necessary to provide wireless telephone coverage to the different areas of the city. A grid is superimposed on a map of the city to help determine where the towers should be located. The grid consists of 8 areas labeled
The Artful Dodger Sports Shop is sponsoring a weekly boomerang throwing contest as part of its spring promotions. Anyone may enter, but the boomerangs uses must be purchased at the The Artful Dodger. Because a smooth finish on the boomerang is essential for accurate flight, most entrants to the contest are expected to buy a new
1. Use the given information to find the P-value. The test statistic in a right-tailed test is z =1.26 P-value =____ (Round to four decimal places as needed) 2. Suppose IQ scores were obtained from randomly selected couples. For 20 such pairs of people, the linear correlation coefficient is 0.904 and the equation of the
The Livewright Medical Supplies Company has a total of 12 salespeople it wants to assign to three regions - the South, the east, and the Midwest. A salesperson in the South earns $600 in profit per month for the company, a salesperson in the Eat earns $540, and a salesperson in the Midwest earns $375. The southern region can hav
Below is the excel output from a regression analysis with one dependent variable (Y) and three independent variables (X1, X2, and X3). Assume we reject the null hypothesis that there is no relationship. Define the linear regression model using this excel output: Coefficients Intercept -6885.009 X1 77.224448 X2 -54.
A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours, and assembly line 2 has 42 available hours. Each product requires 10 hours of processing time on line 2, while on line two product 1 requires 7 hours and product 2 requires 3 hours. The profit for line 1 is $6 per u
Sales of single family residence increasing in Sin City. This is more pronounced in older communities with cheaper homes, although people are still willing to pay up to live in never communities. Attached spread sheet contains info about location, number of offers made on homes, sq ft of homes, whether home made of brick or no
Assume Acme Inc. has hired you to be the product manager for their Segways in the Zambia division. Part of your responsibilities is to determine how to promote Segways in Kitwe for the coming month. You have decided that one segment of the promotional campaign will involve purchasing ad time on the four largest radio stations
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 (Monday through Thursday) from last year showing the restaurant income a
2. A college bookstore must order books two months before each semester starts. They believe that the number of books that will ultimately be sold for any particular course is related to the number of students registered for the course when the books are ordered. They would like to develop a linear regression equation to help pl
Bivariate Regression a) Use Excel to make a scatter plot of the data. (b) Select the data points, right-click, select Add Trendline, select the Options tab, and choose Display equation on chart and Display R-squared value on chart. (c) Interpret the fitted slope. (d) Is the intercept meaningful? Explain. (e) Interpret the R2.
(a) Use Excel to make a scatter plot of the data. (b) Select the data points, right-click, select Add Trendline, select the Options tab, and choose Display equation on chart and Display R-squared value on chart. (c) Interpret the fitted slope. (d) Is the intercept meaningful? Explain. (e) Interpret the R2. Moviegoer Spendi
You are the director of product development for the Frobozz magic thermometer company. You need to determine the markings for the scale printed on the thermometer tube. You take a tube and fill it with mercury, then measure the height of the mercury above a mark near the bottom of the tube at seven different temperatures. You p
Using numerical data from the attached data set, develop one research question and formulate a hypothesis which can be tested with linear regression analysis. (Research question is Whether age influences the purchase of domestic or imported vehicles) Perform a regression hypothesis test on the data in the attachments Price Pr
Quick Stab Collection Agency (QSCA) collects bills in an eastern town. The company specializes in small accounts and avoids risky collections, such as those in which the debtor tends to be chronically late in payments or is known to be hostile. The business can be very profitable. QSCA buys the rights to collect debts from th
I need some help with Forecasting/Demand Planning. Can you assist me with the following attached information on an excel spreadsheet. Thank you! ----------------------------------------------------------------------------------------------------------------------------------------------- Forecasting/Demand Planning
1. Jake's Country Club would like to determine the best way to allocate a monthly advertising budget of $1000 between newspaper advertising and radio advertising. Management decided that at least 25% of the budget must be spent on each type of media, and that the amount of money spent on local newspaper advertising must be at le
Linear Programming Applications: The Two-Rivers Oil Company near Pittsburg transports gasoline to its distributors by truck. The company recently contracted to supply gasoline distributors in southern Ohio, and it has $600,000 available to spend on the necessary expansion of its fleet of gasoline tank trucks. Three models of
The amounts spent in vending machines in the united states, in billions of dollars, for the years 1999 through 2003 are given below. Determine the least squares trend equation, and estimate vending sales for 2005. Year code vending machine sales 1999 1 17.5 2000 2 19.0
Perform a linear regression, 8 month moving average & 3 month moving average forecasting technique to see which is most accurate for the new quarter 11 if quarter 11 sales are 172,000 units Quarter Quarter Demand Shown in Thousand (1000) units 1 121 2 132 3
For the y and x values listed, obtain the simple linear regression equation, then analyze the residuals by: a. constructing a histogram b. using a normal probability c. plotting the residuals versus the x values d. plotting the residuals versus the order which they were observed. Do any of the assumptions of the si
Regression Paper: scatter plot, regression estimation, fit of model, heteroscedasticity, and predictions.
The U.S. Congress enacted legislation in 2005 authorizing Block Grants to cities as part of an Anti-Crime initiative. The grant monies are to be used to hire additional police officers for conducting beat patrols in high crime areas. As part of the determination for how much money to grant, nine cities in New Jersey were part of