Question 4ListenYour Algebra 2 teacher collected data on the number of days each student wasabsent during a semester and their score, in percent, on the semester exam.The linear regression equation that models the data is ŷ=97.769-3.828xwhere x represents the number of days absent and y represents the examscore, in percent.The correlation coefficient is r=-0.707 and the coefficient of determination is=0.500.What are the appropriate interpretations of the slope, y-intercept, correlationcoefficient, and coefficient of determination?**HINT**Slope: -3.828y-intercept: 97.769Correlation coefficient: r = -0.707The rate the predictedsemester exam scoredecreases for every stu-dent absence.The predicted % score astudent will achievebased on having zeroabsences in a semester.a. correlation coefficientb. y-interceptc. slopeThe relationship be-tween the number ofdays a student was ab-sent and their corre-sponding exam score.

a. Correlation coefficient (r = -0.707): Interpretation: The relationship between the number of days…

Answered: Question 4 Listen Your Algebra 2…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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The number of heart surgeries performed at HeartvilleGeneral Hospital has increased steadily over the past sev-eral years. The hospital’s administration is seeking the bestmethod to forecast the demand for such surgeries in year 6.The data for the past 5 years are shown. The hospital’s administration is considering the followingforecasting methods. Begin error measurement in year 3 soall methods are compared for the same years.i. Exponential smoothing, with a = 0.6. Let the initial fore-cast for year 1 be 45, the same as the actual demand.ii. Exponential smoothing, with a = 0.9. Let the initial fore-cast for year 1 be 45, the same as the actual demand.iii. Trend projection with regression.iv. Two-year moving average.v. Two-year weighted moving average, using weights 0.6 and0.4, with more recent data given more weight.vi. If MAD is the performance criterion chosen by the admin-istration, which forecasting method should it choose?vii. If MSE is the performance criterion chosen by the…
a) Using the trend-projection (regression) method, develop a forecastfor the sales of Volkswagen Beetles in Nevada through year 6.b) What is the MAD?~c) What is the MSE?
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1. The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Part 2 Week Of Pints Used August 31 350 September 7 372 September 14 412 September 21 381 September 28 366 October 5 378 Part 3 a) The forecasted demand for the week of October 12 using a 3-week moving average LOADING... = _____________pints (round your response to two decimal places).
6. List and explain in detail why we include disturbance term or error term in the model?
a. Using POM for Windows' least squares-linear regression module, develop a relationship to forecast production ratings from test scores. (Round your responses to three decis and include a minus sign if necessary.) Y= - 23 + .945 x where Y = Production rating and X = Test score. b. If a worker's test score was 54, what would be your forecast of the worker's production rating? 51. (Enter your response as an integer.) c. Comment on the strength of the relationship between the test scores and production ratings. The coefficient of correlation for the least-squares regression model is and the coefficient of determination is (Enter your responses rounded to three decimal places.) More info Test Score Production Rating Production Test Worker Worker Rating Score A 55 43 K 58 57 B 38 43 75 75 93 87 67 48 D 86 77 31 26 E 88 82 62 49 F 66 68 24 25 G 55 47 Q 78 84 Clear all Check 50 46 34 32 41 41 51 58 J 69 74 T 39 30 Print Done LLMN OPoRS
In comparison to causal techniques, what are the fundamental assumptions when utilizing predictive time series techniques?
1.Use a Venn-diagram to perform a qualitative risk assessment, indicating the likelihood%, category, frequency, severity, and RHC score for climate, pest infestations, soil erosion, market volatility and supply chain management risk of corn. 2.Plot the risks from the Venn diagram on a Risk Heat Map/Chart
2:56 +973 3686 6592 06/01/2022, 2:44 PM QUESTION 14 The holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on advertising (x). A random sample of 38 recordings gives the following information The intercept = 18.47 and the slope0 98 The estimated sales for 18 amount of advertisement is equal to? (Round answer to three decimal places ex. 2.091)
Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Guests Guests Quarter Quarter (in thousands) (in thousands) Summer Year 2 Winter Year 1 Spring Year 1 Summer Year 1 58 120 104 Fall Year 2 54 149 75 Winter Year 3 99 Spring Year 3 Summer Year 3 Fall Year 3 Fall Year 1 151 Winter Year 2 65 210 Spring Year 2 84 98 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index Winter Spring Summer Fall
5. The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the company's fleet of over-the-road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data were collected. Age (years) 4.5 4.5 4.5 4.0 4.0 4.0 5.0 5.0 5.5 Yearly Maintenance Cost ($) 619 1,049 1,033 495 723 681 890 1,522 987 Age (years) Yearly Maintenance Cost ($) 5.0 0.5 0.5 6.0 6.0 1.0 1.0 1.0 1,194 163 182 764 1,373 978 466 549 a. Use linear regression model to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor (use Excel) b. If a section has a three-year old tractor, what is the forecast for the annual maintenance cost?
(Use an excel file to show formulas used)

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