(d)(e)Calculate the coefficient of Pearson correlation.If the surrounding temperature in the target installation location is averaged 55°C,argue whether the PE should be used for the piping systems. Support your answerwith calculation using linear regression equation. Q4An engineer wants to investigate the effect of operating temperature to polyethylene (PE)material reliability (in terms of Derating Factor, the higher the better, maximum value is1.00) to be used for outdoor piping systems. Data are gathered as in Table Q4.Table Q4Experimentno.123458796910Operating temperature (°C), A Derating Factor, B21273238434954606671101010Given Σ 4 = 23801, Σ Β = 4.84, Σ AB; = 237.4i=1i=1i=11.000.900.900.800.800.700.500.400.200.00

Given data : A B 21 1 27 0.9 32 0.9 38 0.8 43 0.8 49 0.7 54 0.5 60 0.4 66 0.2…

Answered: (d) (e) Calculate the coefficient of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 21 wins (d) x = 15 wins ERA 6- ERA 6- AERA 6- ERA 6- 4- 4- 4- 4- 2- 2- 2- 2- 0+ 6 0- 0- 0- 12 18 24 6. 12 18 24 12 18 24 6 12 18 24 Wins Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice below and, if necessary, fill in the answer box within your choice. A. ŷ= (Round to two decimal places as needed.) B. It is not meaningful to predict this value of y because…
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Calls to a college emergency hotline for the past 29 months are as follows: Month Calls Month Calls 1 45 16 50 2 30 17 50 3 20 18 35 4 35 19 30 5 40 20 55 6 30 21 70 7 15 22 45 8 25 23 35 9 30 24 37 10 15 25 46 11 10 26 17 12 35 27 33 13 50 28 40 14 30 29 60 15 20 a) Create a time series plot. b) Develop a six period moving average. What is the forecast for month 30? c) Develop an exponential smoothing forecast with a smoothing constant of 0.65. What is the forecast for month 30? d) Calculate the MAD, MSE, and MAPE for each model in problems b, and c. Which model is the better predictor? e) Actual calls during month 30 were 55. Which model is the better predictors? Explain.
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(d) (e) Calculate the coefficient of Pearson correlation. If the surrounding temperature in the target installation location is averaged 55°C, argue whether the PE should be used for the piping systems. Support your answer with calculation using linear regression equation.