engineering data 3. Suppose you have an urn containing 7 red and 3 blue balls. You draw three ballsat random. On each draw, if the ball is red, you set it aside and if the ball is blue youput it back in the urn. What is the probability that the third draw is blue? (If you get ablue ball it counts as a draw even though you put it back in the urn).Your answer

Given that you have an urn containing 7 red and 3 blue balls. You draw three balls at random. On…

Answered: 3. Suppose you have an urn containing 7…

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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Breakfast cereals We saw in Chapter 7 that the calorie con-tent of a breakfast cereal is linearly associated with its sugar content. Is that the whole story? Here’s the output of aregression model that regresses Calories for each serving onits Protein(g), Fat(g), Fiber(g), Carbohydrate(g), andSugars(g) content.Dependent variable is CaloriesR-squared = 84.5, R-squared (adjusted) = 83.4,s = 7.947 with 77 - 6 = 71 degrees of freedomSource Sum ofSquares dfMeanSquare F-RatioRegression 24367.5 5 4873.50 77.2Residual 4484.45 71 63.1613Variable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 20.2454 5.984 3.38 0.0012Protein 5.69540 1.072 5.32 60.0001Fat 8.35958 1.033 8.09 60.0001Fiber -1.02018 0.4835 -2.11 0.0384Carbo 2.93570 0.2601 11.3 60.0001Sugars 3.31849 0.2501 13.3 60.0001Assuming that the conditions for multiple regressionare met,a) What is the regression equation?b) Do you think this model would do a reasonably goodjob at predicting calories? Explain.c) To check the conditions, what…
Annual Revenue million of dollars Franchise value of dollars 244 486 154 237 206 439 171 165 202 330 248 636 241 478 257 656 189 330 247 589 235 428 259 635 164 174 178 190 243 630 Dialog content ends PrintDone The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. b. Use the least-squares method to determine the regression coefficients b0 and b1. b0 = enter your response here b1 = enter your response here (Round to two decimal places as needed.)
Any help with any of the questions is appreciated thank you!
Linear Modeling 1. Some phone apps measure the number of steps taken during a period of time. John downloaded an app that reported data in a table like this: Time Steps Steps taken taken (minutes) 600 4000 20 2400 25 3000 4200 3000 35 2000 1000 10 20 30 40 Minutes (a) What are the variables of the problem? Identify independent and/or dependent variables of the problem if any. (b) Use the information from the table to graph the number of steps that John has taken over time. Connect the points on your graph. Does this curve or is it a line? (c) Explain why the graph tells you that John is walking at a constant pace. МacВook Air DII DD 80 F10 F9 F6 F7 F8 F5 F2 F3 F4 & 23 2$ 3 4 5 6. 7 8 9. E R Y U F H J K L. * 00
The final grade in a particular course is determined by grades on the midterm and final. The grades for five students and the two grading systems are modeled by the following matrices. Call the first matrix A and the second B. Complete parts (a) and (b). Click to view the matrices. a. Describe the grading system that is represented by matrix B. Grading system 1 assigns 50% of the final grade to the midterm and 50% of the final grade to the final. Grading system 2 assigns 20% of the final grade to the midterm and 80% of the final grade to the final. b. Compute the matrix AB and assign each of the five students a final course grade first using system 1 and then using system 2. (89.5-100=A, 79.5-89.4 = B, 69.5-79.4 = C, 59.5-69.4D, below 59.5 = F) Grade System 1 System 2 ... Student 1 Student 2 Student 3 Student 4 Student 5 (Type A, B, C, D, or F.)
Beginning Inventory $11,500 Daily Alternative Purchases (+) $1,000 Produce Purchases (+) $550 Protein Purchases (+) $1,000 Dry Goods Purchases (+) $1,000 Total Available = $15,050 Ending Inventory (-) $10,900 Food Cost (COGS) (=) $4,100 Revenue (Sales) (+) $12,500 Food Cost % (=) 32.8% If the Revenue (sales) decreases and everything else remains the same, what happens to the Food Cost percentage? a. Food cost % increases because the ratio of food cost to revenue will be higher b. Food cost % decreases because the ratio of food cost to revenue will be higher c. Food cost % increases because the ratio of food cost to revenue will be lower d. Food cost % decreases because the ratio of food cost to revenue will be lower
Mathematical Modeling subject.
Question Determine the quadratic regression for the data set below. (2, 762), (5, 939), (7, 1177), (10, 1714), (12, 2192), (15, 3089) Select the correct answer below: O -12x – 25x – 764 O 12x? + 25.x + 764 O 12x2 – 25x – 764 O 12x2 – 25x + 764 O EEEDRACK MORE INSTRUCTION SURMIT
How do I compute the sum of squares by hand given set of data and linear model. (3,5), (8,10), (15,19), (12,2); y = 2x - 8
Study Time (Hours) Exam Score (Points) 0 10 2 30 4 50 6 70 8 90 100 b. Which is the dependent variable and which is the independent variable? Dependent variable: Exam score Independent variable: Study time c. Summarize the data in equation form (assuming a decrease from 4 hours of study time to 2 hours) Instructions: Enter your answers as whole numbers. )( Exam Score=

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