TOPIC: Linear Regressionplease answer, will upvote your solutions. An article in Wear (1992, Vol. 152, pp. 171-181) presents data on the fretting wear of mild steel and oil viscosity. Representative datafollow with x = oil viscosity and y = wear volume (10*cubic millimeters).y 240 | 181| 1931551721101137594x 1.6 9.4 15.5 20.0 22.0 35.5 43.0 40.5 33.0Round your answers to two decimal places (e.g. 98.76).(a) Construct a scatter plot of the data. Does a simple linear regression model appear to be plausible?O YesO No(b) Fit the simple linear regression model using least squares. Find an estimate of .(c) Predict fretting wear when viscosity x= 30.(d) Obtain the fitted value of y whenx= 22.0 and calculate the corresponding residual.

Answered: TOPIC: Linear Regression

Math

Statistics

TOPIC: Linear Regression

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...

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An article in Wear (1992, Vol. 152, pp. 171-181) presents data on the fretting wear of mild steel and oil viscosity. Representative data follow with x- oil viscosity and y - wear volume (10 cubic millimeters). y 240 181 193 155 172 110 113 75 94 1.6 94 15.5 20.0 22.0 35.5 43.0 40.5 33.0 Round your answers to two decimal places (e.g. 98.76). (a) Construct a scatter plot of the data. Does a simple linear regression model appear to be plausible? O Yes O No (b) Fit the simple linear regression model using least squares. Find an estimate of o². Bo + B 1x Bo = i (c) Predict fretting wear when viscosityx- 30. (d) Obtain the fitted value of y whenx- 22.0 and calculate the corresponding residual. i e = 2.
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