In a multiple regression equation k 5 and n 28 the MSE val

In a multiple regression equation, k = 5 and n = 28, the MSE value is 4.29, and SS total is 513.98. At the .05 significance level, can we conclude that any of the regression coefficients are not equal to 0? (Round your answers to 2 decimal places.) (B=beta)

H_o: B₁ = B₂ = B₃ = B₄ = B₅ = 0

df_(regression) = [answer]

H₁: Not all B\'s equal zero

df_(error) = [answer], so H_o is rejected if F > [answer]

Total

513.98

H_o: B₁ = B₂ = B₃ = B₄ = B₅ = 0

df_(regression) = [answer]

H₁: Not all B\'s equal zero

df_(error) = [answer], so H_o is rejected if F > [answer]

Source	SS	df	MS	F
Regression	[answer]	[answer]	[answer]	[answer]
Error	[answer]	[answer]	[answer]	[answer]
Total	513.98	27

So H_o is [rejected/not rejected]. [All/Not all] the regression coefficients equal zero.

As p value for F is 0.0000006

p value is very small < alpha, reject null hypothesis.

All B are not zero.

There is linear relationship between them.

Ho: B1 = B2 = B3 = B4 = B5 = 0	H1: Not all B\'s equal zero

df(regression) = [answer]	df(error) = [answer], so Ho is rejected if F > [answer]
Source	SS	df	MS	F
Regression	415.31	4	103.83	24.2
Error	98.67	23	4.29
Total	513.98	27

In a multiple regression equation, k = 5 and n = 28, the MSE value is 4.29, and SS total is 513.98. At the .05 significance level, can we conclude that any of t

In a multiple regression equation k 5 and n 28 the MSE val

Solution

Get Help Now

Submit a Take Down Notice