Please use the accompanying Excel data set or accompanying Text file data set when completing the following exercise.An article in Wood Science and Technology, "Creep in Chipboard, Part 3: Initial Assessment of the Influence of Moisture Content andLevel of Stressing on Rate of Creep and Time to Failure" (1981, Vol. 15, pp. 125-144) studied the deflection (mm) of particleboardfrom stress levels of relative humidity. Assume that the two variables are related according to the simple linear regression model.The data are shown belowx = Stress level (%)545461616868 757575y = Deflection (mm) 16.473 18.693 14.305 15.12113.505 11.64 11.168 12.534 11.224a. Calculate the least square estimates of the intercept (a) and slope (b). What is the estimate of o² (c)?b. Find the estimate of the mean deflection if the stress level can be limited to 66% (d).c. Estimate the change in the mean deflection associated with a 8% increment in stress level (e).(a) i(Round your answer to 2 decimal places.)(b) i(Round your answer to 3 decimal places.)(c) i(Round your answer to 3 decimal places.)(d) i(Round your answer to 2 decimal places.)(e) i(Round your answer to 3 decimal places.)

Given Information: Consider the given data: Stress Level Deflection 54 16.473 54 18.693 61…

Answered: Please use the accompanying Excel data…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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A statistical program is recommended. The accompanying data resulted from a study of the relationship between y = brightness of finished paper and the independent variables x1 = hydrogen peroxide (% by weight), x2 = sodium hydroxide (% by weight), x3 = silicate (% by weight), and x4 = process temperature. † x1 x2 x3 x4 y 0.2 0.2 1.5 145 83.9 0.4 0.2 1.5 145 84.9 0.2 0.4 1.5 145 83.4 0.4 0.4 1.5 145 84.2 0.2 0.2 3.5 145 83.8 0.4 0.2 3.5 145 84.7 0.2 0.4 3.5 145 84.0 0.4 0.4 3.5 145 84.8 0.2 0.2 1.5 175 84.5 0.4 0.2 1.5 175 86.0 0.2 0.4 1.5 175 82.6 0.4 0.4 1.5 175 85.1 0.2 0.2 3.5 175 84.5 0.4 0.2 3.5 175 86.0 0.2 0.4 3.5 175 84.0 0.4 0.4 3.5 175 85.4 x1 x2 x3 x4 y 0.1 0.3 2.5 160 82.9 0.5 0.3 2.5 160 85.5 0.3 0.1 2.5 160 85.2 0.3 0.5 2.5 160 84.5 0.3 0.3 0.5 160 84.7 0.3 0.3 4.5 160 85.0 0.3 0.3 2.5 130 84.9 0.3 0.3 2.5 190 84.0 0.3 0.3 2.5 160 84.5 0.3 0.3 2.5 160 84.7 0.3 0.3 2.5 160 84.6 0.3 0.3 2.5 160…

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