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Exam: 250714RR - Inferences and Linear Regression

This solved exam provides answers on inferential statistics and linear regression analysis.

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    Student ID: 22039100 Exam: 250714RR - Inferences and Linear Regression When you have completed your exam and reviewed your answers, click Submit Exam . Answers will not be recorded until you hit Submit Exam . If you need to exit before completing the exam, click Cancel Exam . Questions 1 to 20: Select the best answer to each question. Note that a question and its answers may be split across a page break, so be sure that you have seen the entire question and all the answers before choosing an answer. 1. In testing the difference between two population means using two independent samples, we use the pooled variance in estimating the standard error of the sampling distribution of the sample mean difference x̄ 1 − x̄ 2 if the A. ample sizes are both large. B. sizes are both greater than 30. C. populations are nonnormal with unequal variances. D. populations are at least normally distributed with equal variances. 2. A left - tail area in the chi - square distribution equals 0.95. For df = 10, the table value equals A. 15.987. B. 20.483. C. 3.940. D. 18.307. 3. In testing a population variance or constructing a confidence interval for the population variance, an essential assumption is that A. the population is normally distributed. B. expected frequencies equal or exceed 5. C. the population is uniformly distributed. D. sample size exceeds 30. 4. A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: yˆ = 80,000 + 5 x. This implies that an increase of in advertising is expected to result in an increase of in sales. A. $5, $5,000 B. $1, $5 C. $1, $80,005 D. $1, $5,000 5. With larger and larger numbers of categories in chi - square tests, the chi - square distribution takes on the shape of the distribution. A. normal B. binomial

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