**Exhibit 15-33**In a regression model involving 44 observations, the following estimated regression equation was obtained:$\hat{y} = 10 - 4x_1 - 2x_2 + 8x_3 + 8x_4$For this model, SSR = 500 and SSE = 3500.Refer to Exhibit 15-33. The critical $ F $ value at 95% confidence is ____.- ○ 2.99- ○ 2.61- ○ 2.33- ● 2.76The correct choice is 2.76.

Here, there are 4 independent variables and 44 observations. Thus, n = 44 and k = 4.

Answered: Exhibit 15-33 In a regression model…

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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You may need to use the appropriate technology to answer this question. A regression analysis involving 45 observations relating a dependent variable and two independent variables resulted in the following information. ý = 0.406 + 1.3385X + 2X2 The SSE for the above model is 43. When two other independent variables were added to the model, the following information was provided. ŷ = 1.9 - 3x₁ + 12x₂ + 4x3 + 8x4 This model's SSE is 36. At a 0.05 level of significance, test to determine if the two added independent variables contribute significantly to the model. State the relevant null and alternative hypotheses. O Ho: One or more of the parameters is not equal to zero. H₂: B₁ = B₂= B3 = P4 = 0 OH: One or more of the parameters is not equal to zero. H₂: B3 =B₁ = 0 O Ho: B3 =B4 = 0 H₂: None of the parameters are equal to zero. H₁: B3 =B4 = 0 H₂: One or more of the parameters is not equal to zero. O Ho: B₁ = B₂= B3 =B4 = 0 H₂: One or more of the parameters is not equal to zero. ✔ Find the…
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Exhibit 15-33 In a regression model involving 44 observations, the following estimated regression equation was obtained: ŷ= 10 - 4x12x2 + 8x3 + 8x4 For this model, SSR = 500 and SSE = 3500.