1. Another name for the residual term in a regression equation isA. residual analysis.B. random error.C. homoscedasticity.D. pooled variances.2. A chi-square test for independence with 8 degrees of freedom results in a test statistic of 18.21. Usingthe chi-square table, the most accurate statement that can be made about the p-value for this test is thatA. p-value < 0.01.B. 0.10 > p-value > 0.05.C. 0.025 > p-value > 0.01.D. 0.05 > p-value > 0.025.3. A left-tail area in the chi-square distribution equals 0.95. For df = 10, the table value equalsA. 15.987.B. 18.307.C. 3.940.D. 20.483.4. A regression analysis between sales (in $1000) and advertising (in $) resulted in the following leastsquares line: y?? = 80,000 + 5x. This implies that an increase ofin advertising is expected to resultin an increase ofin sales.A. $5, $5,000B. $1, $5,000C. $1, $5D. $1, $80,0055. With larger and larger numbers of categories in chi-square tests, the chi-square distribution takes on theshape of thedistribution.A. normalB. binomialC. PoissonD. t6.6.The F-statistic in a one-way ANOVA represents the variationA. between the treatments divided by the variation within the treatments.B. within the treatments divided by the variation between the treatments.C. within the treatments minus the variation between the treatments.D. between the treatments plus the variation within the treatments.7. Which of the following statements are true regarding the simple linear regression model yi = ??0 + ??1xi +?i?A. yi is a value of the dependent variable (y) and xi is a value of the independent variable (x).B. ??1 is the y-intercept of the regression line.C. ??0 is the slope of the regression line.D. ?i is a nonrandom error.8. Given the significance level 0.05, the F-value for the degrees of freedom, df = (3,7) isA. 4.35.B. 4.12.C. 6.16.D. 8.89.9. In testing the difference between two population means using two independent samples, the samplingdistribution of the sample mean difference x??1 ?? x??2 is normal if theA. population sizes are both greater than 30.B. populations are normal.C. populations are nonnormal and the sample sizes are large.D. sizes are both greater than 30.10. A best-fit mathematical equation for the values of two variables, x and y, is calledA. regression analysis.B. errors of prediction.C. scatter diagram.D. correlation analysis.11. A random sample of males and females involved in rear-end accidents results in the following Minitabsummary:What is the value of the test statistic (Z score)?N MEAN MEDIAN TRMEAN STDEV SEMEANFEMALES 33 23.91 20.00 23.38 9.77 1.70MALES 38 28.87 28.50 28.44 9.67 1.57A. 2.32B. ??4.96C. ??2.14D. 1.6412. An indication of no linear relationship between two variables would be a coefficient ofA. determination equal to ??1.B. determination equal to 1.C. correlation of 0.D. correlation equal to ??1.13. The object on which the response and factors are observed is calledA. factors.B. experimental unit.C. treatments.D. factor level.14. Consider the following data values of variables x and y.Find the least squares regression line.x 4 2 6 4 3y 5 3 7 6 5A. ??1.045 + 0.932xB. 1.659 + 0.932xC. 21.206 + 1.073xD. 1.122 + 1.073×15. What is the slope of the line that passes through the points (??5, ??8) and (3,8)?A. ®B. 2C. ??®D. ??216. Given the significance level 0.025, the F-value for the degrees of freedom, df = (7,3) isA. 27.67.B. 14.62.C. 5.89.D. 8.45.17. In testing a population variance or constructing a confidence interval for the population variance, anessential assumption is thatA. the population is normally distributed.End of examB. expected frequencies equal or exceed 5.C. sample size exceeds 30.D. the population is uniformly distributed.18. In using the ANOVA models, the assumptions made about the data areA. the samples are independent.B. all 3 assumptions made here about the data.C. the population variances are equal.D. the population distributions are normal.19. In a hypothesis test for the population variance, the alternate hypothesis is the population variance doesnot equal 17.0. The significance level to be used is 0.05 and the sample size to be taken is 25. The tablevalue(s) to use from the chi-square distribution is/areA. 12.401 and 39.364.B. 40.647.C. 13.120 and 40.647.D. 39.364.20. The vertical distances between observed and predicted values of y are calledA. errors of prediction.B. methods of least squares.C. least square lines.D. scatterplots
Use the order calculator below and get started! Contact our live support team for any assistance or inquiry.
[order_calculator]