all Verizon 1:44 PM 62%-, Yi 2 points mintrostat9 10.e.031 defective How are ret
ID: 3326322 • Letter: A
Question
all Verizon 1:44 PM 62%-, Yi 2 points mintrostat9 10.e.031 defective How are returns on common stocks in overseas markets related to returns in one countries markets? Consider measuring the countries returns by the annual rate of return on the index A and overseas returns by the annual rate of retun on index B. Both are recorded in percents. We will regress the B returns on the A returns for the years 1991 to 2014. Here is part of the output for this regression. The regression equation is B--3.21+0.823A. Complete the analysis of variance table by filing in the missing boxes. (Round your answer for F to two decimal places and your answers for SS and MS to one decimal place) Regreasion 5513 Residual Brror 0077.5 9. -2 points MintsoStats to.E 512.XP My Notes Ask Your We assume that our wages will increase as we gain experience and become more valuable to our employers. Wages also increase because of inflation. By examining a sample of employees at a given point in time, we can look at part of the pictuire. How does length of service (LOS) relate to wages? The data here (data275.dat) is the LOS in months and wages for 60 women who work in Indiana banks. Wages are yearly total income divided by the number of weeks worked. We have multiplied wages by a constant for reasons of confidentiality. (a) Plot wages versus LOS. Consider the relationship and whether or not linear regression might be appropriate. (Do this on paper. Your instructor may ask you to turn in this graph.) (b) Find the least-squares line, Summarize the significance test for the slope. What do you conclude? Wages o5 (c) State carefully what the slope tells you about the relationship between wages and length of service. This answer has not been graded yet (d) Give a 95% confidence interval for the slope. eBookExplanation / Answer
Question 8 Solution
MS(Regression) = 5551.3
SSE= TSS-SSR = 10077.5-5551.3 = 4526.2
n=22
DF of SSE = n-2 = 20
MS(Error) = 4526.2/20 = 231.3
DF of TSS = n-1 = 21
F = MS(Regression)/MS(Error) = 5551.3/231.26 = 23.97
Question 9 has no data.
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