We have two revenue matrices R and Q for a firm that produces blouses, skirts, and dresses at plants located at Atlanta and Chicago. The numbers are given in thousands of dollars per week.R =S =Q =BlousesSkirtsDressesBlousesSkirtsDressesAtlanta Chicago14712161613Atlanta Chicago 19191013410Find a matrix S that gives the average revenue for each item at both plants.What was the average revenue for skirts in Atlanta?$per week

The main objective is to find average revenue for each item at both plants.

Answered: We have two revenue matrices R and Q…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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In a town of 10000 families it was found that 40% of families buy newspaper A, 20% family buy newspaper B, 10% family buy newspaper C, 5% family buy newspaper A and B, 3% family buy newspaper B and C and 4% family buy newspaper A and C. If 2% family buy all the newspaper. Find the number of families which buy Number of families which buy all three newspapers. Number of families which buy None of A, B, C
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Data in the table comes from the NASA Global Climate Change website. It gives the average globaltemperature, in Celsius, for the given year. Use both rows for your calculations. For this problem, youwill see how well year correlates with the average temperature. Let ? be the number of years since1984 and ? be the average global temperature in degrees Celsius.Year 1984 1986 1988 1990 1992 1994 1996 1998 2000Temp 0.16 0.18 0.38 0.45 0.22 0.31 0.33 0.61 0.40Year 2002 2004 2006 2008 2010 2012 2014 2016 2018Temp 0.63 0.54 0.64 0.54 0.72 0.64 0.75 1.02 0.85a. Make a scatterplot of the data. Being sure to clearly label each axis. Keep in mind howeach variable is defined. Based on this scatterplot, is a linear model reasonable for this data set?Briefly explain.b. Determine the correlation coefficient for this data. Interpret this value in context.c. Determine the coefficient of determination for this data. Interpret this value incontext.d.State the regression line for the data.e. What does the…
You want to determine how many loaves of Bread are sold per day at Schat’s Bakery. You stand outside for ten different randomly selected days, count the number of loaves, and then average them. You come up with 421 loaves per day. In reality, Schat’s keeps records of how many loaves they sell per day, and in they averaged 395 loaves per day. What is the static in the above example?
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PLEASE ANSWER ASAP Based on the data determine the followinga. Represent the portions of regular, High Mountain and chocolate used in the blends by matrix A, with the values in decimal form. And represent the ingredients for a three-day period by matrix X.b. Determine the inverse of A. c. For each day find the number of pounds of blends that could be produced if there is no waste. Round the answers to the nearest whole numbers d. Based on the previous question which blend has the highest amount of production for 3 days and how much is it in pounds?
Please take a screenshot of all the steps ******************************** Q 1 (a) Enter the following data into PSPP : STUDENT NAME DEPARTMENT COURSE MARKS Tommy 1 Computer Networks 75 John 2 Software Engineering 87 Anabell 1 Programming 94 Rose 2 Information Technology 50 Sarah 2 Software Engineering 72 Value=1 represents “CS” Value=2 represents “IT” Perform the following on the above data: Using the Descriptive analysis calculate the Sum, Mean, Mode and Standard deviation for Marks Do a Frequency analysis on the variable “Department” and create a Pie chart for
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2 Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…
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