A plot suggests that the expected value of thermal conductiv

A plot suggests that the expected value of thermal conductivity y is a linear function of 104 · 1/x, where x is lamellar thickness.

(a) Estimate the parameters of the regression function and the regression function itself. (Round your answers to four decimal places.)


y = [answer]+ [answer]/X

x   240 420 470 490 510 590 755 8310
y   11.5 15.2 14.5 14.9 14.7 15.2 16.2 18.4

Solution

sOL)

The Regression equation is y=a+bx

From Excel

The fitted Regressionequation is

y=14.3269 + 0.0005 (X)

B) when x=500

The fitted Regression equation is

y=14.3269 + 0.0005 (500)

y=14.577

Coefficients Standard Error t Stat
Intercept 14.32697416 0.571079991 25.08751
x   0.000507782 0.000191791 2.647573
A plot suggests that the expected value of thermal conductivity y is a linear function of 104 · 1/x, where x is lamellar thickness. (a) Estimate the parameters

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