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A multiple linear regression model with 10 regressor variables was developed using 36 observations, which gave SSError = 142. When the model is reduced by

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A multiple linear regression model with 10 regressor variables was developed using 36 observations, which gave SSError = 142. When the model is reduced by removing 4 variables (out of the 10 regressor variables), the value of SS Error increased to 182. Therefore, the Cp value for the reduced model will be equal to: -2.49 10.04 5.52 15.17 A multiple linear regression model with 10 regressor variables was developed using 36 observations, which gave SSError = 142. When the model is reduced by removing 4 variables (out of the 10 regressor variables), the value of SS Error increased to 182. Therefore, the Cp value for the reduced model will be equal to: -2.49 10.04 5.52 15.17

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