Question

27. For a party with 55 people invited, which of the following is true? The median arrival time would be exactly 62.899999999999991 minutes. b. The median arrival time would be 62.899999999999991 minutes on average. The median arrival time would be more than 63 minutes. d. We are not able to estimate the median arrival time for this party as all parties are different. a e. None of the above. 28. What is the relationship between a prediction interval and a confidence interval for estimating the median arrival time using party size? a. Both intervals are identical. They are named differently for different scenarios. b. Both intervals have the same mean but different widths: the prediction interval is wider than the confidence interval. c. These two intervals are not related at all. d. Both intervals have the same mean but different widths: the prediction interval is narrower than the confidence interval. e. Both intervals have the same width. The prediction interval is always higher than the confidence interval. 29. What is the conclusion of the test Ho: Bi0 vs. Ha: B10? Use a 5%. a. Reject H0. Number of guests helps to explain the median arrival time. b. Reject H0. Number of guests does not help to explain the median arrival time Do not reject H0. Number of guests does not help to explain the median arrival time. d. Do not reject H0. Number of guests helps to explain the median arrival time. e. Not enough information is given to carry out this test 30. A 95% confidence interval for the slope coefficient for size, Bi, can be represented in the following format: (point estimate) ± (multiplier) X (standard error). What's the multiplier here? a. 1.96 b. 1.734 1.729 d. 2.101 e. 2.093 31. What is the standard error of the estimate? a. 13.77 b. 4.02 c. 17.52 d. 4.13 e. 57.42 32. There will be one residual for each individual observation. Which of the following provides an We assume residuals follow a normal distribution with mean 0 and a constant standard deviation. a. Residuals follow an F distribution, as seen in the ANOVA table above. accurate description of the residuals? Residuals can be both positive and negative, and their sum is also positive. e. Residuals follow a normal distribution with mean 0 and standard deviation 1. h d. Residuals are based on the entire population. We will not be able Caiedrate the residuals at all.

Answer 1

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