Submitted by: Submitted by qbflavor11
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Category: Business and Industry
Date Submitted: 05/14/2011 05:36 PM
37.
H0: r ≤ 0
H1: r > 0
α = 0.05
df = N-2 = 25-2 = 23
Critical value = 1.714
Test statistic = r*sqrt[(n-2)/(1-r²)] = 0.94*sqrt[(25-2)/(1-0.94²)] = 13.213
Conclusion: Since 13.213 > 1.714 we reject H0 and conclude that we have sufficient evidence to support claim of a positive association between the two variables.
Read more: 37. A regional commuter airline selected a random sample of - JustAnswer http://www.justanswer.com/math/2mh9h-37-regional-commuter-airline-selected-random-sample.html#ixzz1MN4WwxeT
We conduct a t- test for a correlation coefficient.
t = [r/sqrt(1 - r^2)] * sqrt(n - 2) = [0.94/sqrt(1 - 0.94^2)] * sqrt(25 - 2) = 13.21
The critical value of t for 23 dof and a = 0.05 is 2.0686
Since 13.21 > 2.0686, we conclude that the correlation between the variables is
significant.
Read more: A regional commuter airline selected a random sample of 25 - JustAnswer http://www.justanswer.com/math/2fskd-regional-commuter-airline-selected-random-sample-25.html#ixzz1MN4tViFM
40.
(A)
(B)
r = 0.423, weak positive correlation.
(C)
df = n-2 = 25-2 = 23
α = 0.05
one-tailed critical value T = 1.319
Test statistic T = r*Sqrt[(n-2)/(1-r²)] = 0.423*Sqrt[(25-2)/(1-0.423²)] = 2.24
Conclusion: Since 2.24 > 1.319 we conclude that there is a positive relationship between the variables.
(D)
r² = 0.423² = 0.179, so approximately 18% of the variation in revenue is explained by the variation in the number of rooms occupied.
Read more: 40. A suburban hotel derives its gross income from its hotel - JustAnswer http://www.justanswer.com/math/25ke7-40-suburban-hotel-derives-its-gross-income-its-hotel.html#ixzz1MN6U1UCs
17.
a. $28,000
b. R2 = SSR/SS total = 3,050/5,250 = .5809
c. 9.199, found by calculating the sqrt 84.62
d. Ho is rejected if F > 2.97 (approximately)
Computed F = 1,016.67/84.62 = 12.01
Thus Ho is rejected due to at least one regression coefficient is not zero....