A new factory worker is put to work assembling gadgets. He is fairly slow at first, but over a period of daysgets much faster. His employer constructs the following table to evaluate is progress over the first 20 days heis on the job. Give an upper estimate for the number of gadgets the worker assembled the second 10 days onthe job. (Use 2 intervals)Number of days10520150on the jobNumber ofgadgets2023815assembled perday24

Answered: Image /qna-images/answer/39496873-ea92-477f-b1a1-6a60f80b811e.jpg

Answered: A new factory worker is put to work…

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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A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Determine the simple linear regression equation Y = a + bX. (round off values up to 1 decimal place)
Please answer this. Show work.
A soda company is monitoring the number of cases of soda it produces as a function of time. A manager checked the line several times a day for a week. She then graphed the combined data. Assume that we should see a linear (best straight line) relationship between time and production. What is the best estimate of the number of cases that will be produced in 1 hr on a typical day? 8. 7 1 0.5 1.5 2 2.5 Time in hours Select one: а. 1 b. 2 C. 2.5 d. 4.5 е. 7 Cases of soda produced
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…
Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
At Center Hospital there is some concern about the high turnover of nurses. A survey was done to determine how long (in months) nurses had been in their current positions. The responses (in months) of 20 nurses were 23 5 14 25 36 27 42 12 8 7 15 29 26 28 11 20 31 8 36 Find the interquartile range. O 37.5 O 19.0 O 22.5 O 38.0 19.5
An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight Miles per (pounds), x Gallon, y 3797 16 3897 16 2704 24 3608 20 3360 22 3040 22 3787 17 2618 24 3509 18 3798 16 3399 17 interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 a) A weightless car will get ____ miles per gallon, on average. It is not appropriate to interpret the slope. b) for every pound added to the weight of the car, mileage in the city will…
This data describes the flight of a plastic glider launched from a tower on a hilltop. The height values are negative whenever the glider was below the height of the hilltop. Find the lowest point in the gliders path. TIME (s) HEIGHT (m) 0 9 1 5.5 2 2.5 3 0 4 -2 5 -3.5 6 -4.5 7 -5 8 -5 9 -4.5 10 -3.5 11 -2 12 0 13 2.5 14 5.5 15 9 16 13 17 17.5 18 22.5 19 28 20 34
When filling up his car. Nathan noticed that a litre of gasoline currently costs $1.25. However, this time last year, he remembers that it cost only $0.95. Which of the following strategies would be the most effective for measuring the change in the price of gas over the last year? O The Maximin Strategy O Create a Stem and Leaf Plot O Conduct a Hypothesis Test KID Calculate a Simple Index For some questions, you'll need the z-score and t-value tables, so l've linked them here:

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