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The tensile strength of a paper product is related to the amount of hardwood in

ID: 3207561 • Letter: T

Question

The tensile strength of a paper product is related to the amount of hardwood in the pulp. Ten samples are produced in the pilot plant, and the data obtained are shown in the following table. a. Fit a linear regression model relating the strength to percent hardwood (x). Test the model in part (a) for significance of regression at alpha = 0.05. Find a 95% confidence interval on the parameter beta_1. Find a 95% confidence interval on the parameter beta_0. Find a 95% confidence interval on the mean response (y) when x = 28. Find a 95% prediction interval on the mean of four future observations when x = 28.

Explanation / Answer

Result:

Regression Analysis

0.970

n

10

r

0.985

k

1

Std. Error

2.203

Dep. Var.

strength

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1,262.0672

1  

1,262.0672

260.00

2.20E-07

Residual

38.8328

8  

4.8541

Total

1,300.9000

9  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=8)

p-value

95% lower

95% upper

Intercept

143.8244

2.5215

57.039

9.91E-12

138.0097

149.6390

Percent Hardwood

1.8786

0.1165

16.125

2.20E-07

1.6100

2.1473

Predicted values for: strength

95% Confidence Interval

95% Prediction Interval

Percent Hardwood

Predicted

lower

upper

lower

upper

Leverage

28

196.426

193.912

198.941

190.757

202.095

0.245

The regression line

Strength = 143.8244+1.8786*Percent Hardwood

Calculated F=260.0, P=0.000 which is < 0.05 level.

The model is significant.

95% CI for b1 is (1.6100, 2.1473)

95% CI for b0 is (138.0097, 149.6390)

95% CI for y when x=28 is (193.912, 198.941)

95% PI for y when x=28 is (190.757, 202.095)

Regression Analysis

0.970

n

10

r

0.985

k

1

Std. Error

2.203

Dep. Var.

strength

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1,262.0672

1  

1,262.0672

260.00

2.20E-07

Residual

38.8328

8  

4.8541

Total

1,300.9000

9  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=8)

p-value

95% lower

95% upper

Intercept

143.8244

2.5215

57.039

9.91E-12

138.0097

149.6390

Percent Hardwood

1.8786

0.1165

16.125

2.20E-07

1.6100

2.1473

Predicted values for: strength

95% Confidence Interval

95% Prediction Interval

Percent Hardwood

Predicted

lower

upper

lower

upper

Leverage

28

196.426

193.912

198.941

190.757

202.095

0.245

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