Consider the multiple regression model shown next between the dependent variable Y and four independent variables X1, X2, X3, and X4, which results in the following function: Ŷ = 33 + 8X1 − 6X2 + 16X3 + 18X4 For this model, there were 43 observations; SSR = 1,464 and SSE = 600. The critical F-value at the 1% level of significance is   Multiple Choice   3.94   2.72   3.86   2.64

MATLAB: An Introduction with Applications
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Consider the multiple regression model shown next between the dependent variable Y and four independent variables X1, X2, X3, and X4, which results in the following function:

Ŷ = 33 + 8X1 − 6X2 + 16X3 + 18X4

For this model, there were 43 observations; SSR = 1,464 and SSE = 600.

The critical F-value at the 1% level of significance is

 

Multiple Choice
  •  

    3.94

  •  

    2.72

  •  

    3.86

  •  

    2.64

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