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As the carbon content in steel increases, its ductility tends to decrease. A res

ID: 3158531 • Letter: A

Question

As the carbon content in steel increases, its ductility tends to decrease. A researcher at a steel company measures carbon content and ductility for a sample of 15 types of steel. Based on these data he obtained the following regression results.

The regression equation is:

Ductility = 7.67 - 3.30 Carbon Content

Predictor                Coef                         SE Coef                        T                          P

Constant               7.671                        1.507                           5.09                   0.000

Carbon Content -3.296                        1.097                        -3.01                    0.010

S = 2.36317 R-Sq = 41.0% R-Sq (adj) = 36.5%

Answer the following questions:

a) What is the 95% confidence interval for the slope of the regression equation?

b) Do you think the Least Square Estimate resulted to a good fit model?

c) If it is not what do the researcher do to get a good fit linear regression Model?

Explanation / Answer

a) What is the 95% confidence interval for the slope of the regression equation?

B1 +/- SE coef

-3.296 +/- 1.097

-4.393 < B1 < -2.199

b)

b) Do you think the Least Square Estimate resulted to a good fit model?

no because , you need at least 50% in R squared

c)

the reaseacher need to do see what outliers are in the regression model , and take out the values outliers and do other regression