/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} 136SE Suppose you fit the model y=尾0+... [FREE SOLUTION] | 91影视

91影视

Suppose you fit the model y=0+1x1+2x12+3x2+4x1x2+to n = 25 data points with the following results:

^0=1.26,^1=-2.43,^2=0.05,^3=0.62,^4=1.81s^1=1.21,s^2=0.16,s3^=0.26,s^4=1.49SSE=0.41andR2=0.83

  1. Is there sufficient evidence to conclude that at least one of the parameters b1, b2, b3, or b4 is nonzero? Test using a = .05.
  2. Test H0: 尾1 = 0 against Ha: 尾1 < 0. Use 伪 = .05.
  3. Test H0: 尾2 = 0 against Ha: 尾2 > 0. Use 伪 = .05.
  4. Test H0: 尾3 = 0 against Ha: 尾3 鈮 0. Use 伪 = .05.

Short Answer

Expert verified
  1. At 95% confidence interval, it can be concluded that1=2=3=4=0
  2. At 95% confidence interval, it can be concluded that1=0.
  3. At 95% confidence interval, it can be concluded that2=0.
  4. At 95% confidence interval, it can be concluded that30.

Step by step solution

01

Goodness of fit test

H0:1=2=3=4=0Ha:Atleastoneoftheparameters1,2,3,and4isnonzero

Here, F test statistic =SSEn-(k+1)=0.4125-5=0.0205

Value of F0.05,25,25 is 1.964

H0isrejectedifFstatistic>F0.05,28,28.For=0.05,sinceF<F0.05,28,28role="math" localid="1652120400407" NotsufficientevidencetorejecHoat95%confidenceinterval.

Therefore,1=2=3=4=0.

02

Significance of β

H0:1=0Ha:1<0

Here, t-test statistic =1^21^=-2.431.21=-2.008

Value oft0.05,25 is 1.708

H0isrejectediftstatistic>t0.05,25.For=0.05,sincet<t0.05,25.NotsufficientevidencetorejectHoat95%confidenceinterval.Therefore,1=0

03

Significance of β3

H0:2=0Ha:2>0

Here, t-test statistic =2^22^=0.050.16=0.3125

Value oft0.05,25 is 1.708

H0isrejectediftstatistic>t0.05,25.For=0.05,sincet<t0.05,31.NotsufficientevidencetorejectHoat95%confidenceinterval.Therefore,2=0.

04

Significance of β3

H0:3=0Ha:30

Here, t-test statistic = 3^s^3=0.620.26=2.38461

Value oft0.025,25 is 2.060

H0isrejectediftstatistic>t0.05,24,24.For=0.05,sincet>t0.05,31.SufficientevidencetorejectHoat95%confidenceinterval.Therefore,30.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Question: Shared leadership in airplane crews. Refer to the Human Factors (March 2014) study of shared leadership by the cockpit and cabin crews of a commercial airplane, Exercise 8.14 (p. 466). Recall that simulated flights were taken by 84 six-person crews, where each crew consisted of a 2-person cockpit (captain and first officer) and a 4-person cabin team (three flight attendants and a purser.) During the simulation, smoke appeared in the cabin and the reactions of the crew were monitored for teamwork. One key variable in the study was the team goal attainment score, measured on a 0 to 60-point scale. Multiple regression analysis was used to model team goal attainment (y) as a function of the independent variables job experience of purser (x1), job experience of head flight attendant (x2), gender of purser (x3), gender of head flight attendant (x4), leadership score of purser (x5), and leadership score of head flight attendant (x6).

a. Write a complete, first-order model for E(y) as a function of the six independent variables.

b. Consider a test of whether the leadership score of either the purser or the head flight attendant (or both) is statistically useful for predicting team goal attainment. Give the null and alternative hypotheses as well as the reduced model for this test.

c. The two models were fit to the data for the n = 60 successful cabin crews with the following results: R2 = .02 for reduced model, R2 = .25 for complete model. On the basis of this information only, give your opinion regarding the null hypothesis for successful cabin crews.

d. The p-value of the subset F-test for comparing the two models for successful cabin crews was reported in the article as p 6 .05. Formally test the null hypothesis using 伪 = .05. What do you conclude?

e. The two models were also fit to the data for the n = 24 unsuccessful cabin crews with the following results: R2 = .14 for reduced model, R2 = .15 for complete model. On the basis of this information only, give your opinion regarding the null hypothesis for unsuccessful cabin crews.

f. The p-value of the subset F-test for comparing the two models for unsuccessful cabin crews was reported in the article as p < .10. Formally test the null hypothesis using 伪 = .05. What do you conclude?

Question: Novelty of a vacation destination. Many tourists choose a vacation destination based on the newness or uniqueness (i.e., the novelty) of the itinerary. The relationship between novelty and vacationing golfers鈥 demographics was investigated in the Annals of Tourism Research (Vol. 29, 2002). Data were obtained from a mail survey of 393 golf vacationers to a large coastal resort in the south-eastern United States. Several measures of novelty level (on a numerical scale) were obtained for each vacationer, including 鈥渃hange from routine,鈥 鈥渢hrill,鈥 鈥渂oredom-alleviation,鈥 and 鈥渟urprise.鈥 The researcher employed four independent variables in a regression model to predict each of the novelty measures. The independent variables were x1 = number of rounds of golf per year, x2 = total number of golf vacations taken, x3 = number of years played golf, and x4 = average golf score.

  1. Give the hypothesized equation of a first-order model for y = change from routine.
  1. A test of H0: 尾3 = 0 versus Ha: 尾3< 0 yielded a p-value of .005. Interpret this result if 伪 = .01.
  1. The estimate of 尾3 was found to be negative. Based on this result (and the result of part b), the researcher concluded that 鈥渢hose who have played golf for more years are less apt to seek change from their normal routine in their golf vacations.鈥 Do you agree with this statement? Explain.
  1. The regression results for three dependent novelty measures, based on data collected for n = 393 golf vacationers, are summarized in the table below. Give the null hypothesis for testing the overall adequacy of the first-order regression model.
  1. Give the rejection region for the test, part d, for 伪 = .01.
  1. Use the test statistics reported in the table and the rejection region from part e to conduct the test for each of the dependent measures of novelty.
  1. Verify that the p-values reported in the table support your conclusions in part f.
  1. Interpret the values of R2 reported in the table.

Suppose you fit the second-order model y=0+1x+2x2+to n = 25 data points. Your estimate of2is^2= 0.47, and the estimated standard error of the estimate is 0.15.

  1. TestH0:2=0againstHa:20. Use=0.05.
  2. Suppose you want to determine only whether the quadratic curve opens upward; that is, as x increases, the slope of the curve increases. Give the test statistic and the rejection region for the test for=0.05. Do the data support the theory that the slope of the curve increases as x increases? Explain.

Suppose you fit the model y =0+1x1+1x22+3x2+4x1x2+to n = 25 data points with the following results:

^0=1.26,^1= -2.43,^2=0.05,^3=0.62,^4=1.81s^1=1.21,s^2=0.16,s^3=0.26, s^4=1.49SSE=0.41 and R2=0.83

  1. Is there sufficient evidence to conclude that at least one of the parameters b1, b2, b3, or b4 is nonzero? Test using a = .05.

  2. Test H0: 尾1 = 0 against Ha: 尾1 < 0. Use 伪 = .05.

  3. Test H0: 尾2 = 0 against Ha: 尾2 > 0. Use 伪 = .05.

  4. Test H0: 尾3 = 0 against Ha: 尾3 鈮 0. Use 伪 = .05.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.