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#1.) In the multiple regression model Y = ?? + ??X? + ??X? + ??X? + ??X? + ? with all the usual assumptions on ?, discuss how one would test H?: ?? = ??, ?? = 2, ?? = 0 vs H?: at least one = is a ? in H? at level ?. Give both degrees of freedom in the F-distribution test statistic. #2.) Repeat Problem 1 for H?: 2?? = 3?? + 4??, ?? = ??, 7?? = 6?? + 8?? + 3?? instead.

          #1.) In the multiple regression model Y = ?? + ??X? + ??X? + ??X? + ??X? + ? with all the usual assumptions on ?, discuss how one would test H?: ?? = ??, ?? = 2, ?? = 0 vs H?: at least one = is a ? in H? at level ?. Give both degrees of freedom in the F-distribution test statistic.

#2.) Repeat Problem 1 for H?: 2?? = 3?? + 4??, ?? = ??, 7?? = 6?? + 8?? + 3?? instead.
        
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#1.) In the multiple regression model Y = ?? + ??X? + ??X? + ??X? + ??X? + ? with all the usual assumptions on ?, discuss how one would test H?: ?? = ??, ?? = 2, ?? = 0 vs H?: at least one = is a ? in H? at level ?. Give both degrees of freedom in the F-distribution test statistic.

#2.) Repeat Problem 1 for H?: 2?? = 3?? + 4??, ?? = ??, 7?? = 6?? + 8?? + 3?? instead.

Added by Trinidad T.

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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In the multiple regression model Y = ̠₀ + ̠₁X₁ + ̠₂X₂ + ̠₃X₃ + ̠₄X₄ + ̑ with all the usual assumptions on ̑, discuss how one would test H₀: ̠₂ = ̠₄, ̠₁ = 2, ̠₃ = 0 vs Hᐢ: at least one = is a ≠ in H₀ at level ̑. Give both degrees of freedom in the F-distribution test statistic. Repeat Problem 1 for H₀: 2̠₁ = 3̠₂ + 4̠₃, ̠₁ = ̠₄, 7̠₁ = 6̠₂ + 8̠₃ + 3̠₄ instead.
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Transcript

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00:01 We know that the null hypothesis, null hypothesis for the multiple regression model, because it is stated for the multiple regression model, so we have to see the null hypothesis for multiple regression model, multiple regression model, it states that then regression coefficients are equal to zero.
00:37 That means if regression coefficients are given by beta one, they are equal to zero, beta one is zero, beta two is zero, and beta three is zero, this is by the null hypothesis for multiple regression model, which states that the null hypothesis represented by h naught, beta one equal to beta two, equal to beta three, and that equals to zero.
01:08 Okay, and our alternative hypothesis states that the, at least some regression coefficients are not equal to zero...
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