The accompanying information is a set of coded experimental data on the compressive strength of a particular alloy at various values of the concentration of some additive. Complete parts (a) and (b) below. Click the icon to view the compressive strength data. (a) Estimate the quadratic regression equation μyx = ßo +ß₁×₁ +ß₂ײ. ŷ= + (×₁+0× (Round the constant to two decimal places as needed. Round all other constants and coefficients to three decimal places as needed.) Bearing Data Concentration, Compressive Strength, x y 10.0 25.4 10.0 27.1 10.0 28.5 15.0 29.9 15.0 31.4 15.0 27.6 20.0 31.2 20.0 32.6 20.0 29.6 25.0 31.9 25.0 30.3 25.0 32.3 30.0 29.3 30.0 30.9 30.0 32.9

MATLAB: An Introduction with Applications
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The accompanying information is a set of coded experimental data on the compressive strength of a particular alloy
at various values of the concentration of some additive. Complete parts (a) and (b) below.
Click the icon to view the compressive strength data.
(a) Estimate the quadratic regression equation μyx = ßo +ß₁×₁ +ß₂ײ.
ŷ= + (×₁+0×
(Round the constant to two decimal places as needed. Round all other constants and coefficients to three decimal
places as needed.)
Transcribed Image Text:The accompanying information is a set of coded experimental data on the compressive strength of a particular alloy at various values of the concentration of some additive. Complete parts (a) and (b) below. Click the icon to view the compressive strength data. (a) Estimate the quadratic regression equation μyx = ßo +ß₁×₁ +ß₂ײ. ŷ= + (×₁+0× (Round the constant to two decimal places as needed. Round all other constants and coefficients to three decimal places as needed.)
Bearing Data
Concentration, Compressive Strength,
x
y
10.0
25.4
10.0
27.1
10.0
28.5
15.0
29.9
15.0
31.4
15.0
27.6
20.0
31.2
20.0
32.6
20.0
29.6
25.0
31.9
25.0
30.3
25.0
32.3
30.0
29.3
30.0
30.9
30.0
32.9
Transcribed Image Text:Bearing Data Concentration, Compressive Strength, x y 10.0 25.4 10.0 27.1 10.0 28.5 15.0 29.9 15.0 31.4 15.0 27.6 20.0 31.2 20.0 32.6 20.0 29.6 25.0 31.9 25.0 30.3 25.0 32.3 30.0 29.3 30.0 30.9 30.0 32.9
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