In a multiple regression equation, k = 5 and n = 28, the MSE value is 4.29, and
ID: 3435766 • Letter: I
Question
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)
Ho: B1 = B2 = B3 = B4 = B5 = 0
df(regression) = [answer]
H1: Not all B's equal zero
df(error) = [answer], so Ho is rejected if F > [answer]
Total
513.98
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)
Ho: B1 = B2 = B3 = B4 = B5 = 0
df(regression) = [answer]
H1: Not all B's equal zero
df(error) = [answer], so Ho 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 Ho is [rejected/not rejected]. [All/Not all] the regression coefficients equal zero.Explanation / Answer
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 27Related Questions
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