Practice questions - Quiz 3 (2023)

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Feb 20, 2024

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Practice Problems – Quiz 3 1. Consider the following regression line: = -7.29 + 1.93 x YearsEducation . What is the regression’s prediction for the average change in hourly earnings of people who go from having a high school diploma to earning a four-year college degree? A. Earnings go up by $0.43/hour B. Earnings go up by $7.72/hour C. Earnings go down by $0.43/hour D. Earnings go down by $7.72/hour Answer: B earnings = 1.93x education 2. Consider the estimated equation: = -7.29 + 1.93 x YearsEducation If a worker completes a 2-year degree in a community college, how much are her average hourly earnings expected to increase? A) 1.93 B) 0.24 C) 3.86 D) 8.04 Answer: C Same type of problem as above 3. The economic structure of Major League Baseball allows some teams to make substantially more money than others, which in turn allows some teams to spend much more on player salaries. These teams might therefore be expected to have better players and win more games on the field as a result. Suppose that after collecting data on team payroll (in millions of dollars) and season win total for 2010, we find a regression equation of Wins = 71.87 + 0.101Payroll If Team A’s payroll is $1 million higher than Team B’s, then we would expect Team A to win, on average, A) 0.101 games more than Team B. B) 71.87 games more than Team B. C) 0.060 games more than Team B. D) 0.060 games fewer than Team B. Answer: A
Payroll is measured in millions of dollars. Therefore, when Team A’s payroll is $1 million higher, it is just a unit higher. Difference in winnings = 0.101 x 1. (if it were $2 million higher, the difference in winnings would be 0.101 x 2 4. Calculate the predicted number of wins for a team with a payroll of $98 million. A) 65.99 B) 77.75 C) 77.85 D) 81.71 E) 81.77 Answer: E Predicted Wins = 71.87 + 0.101 x 98 5. One team in the data set had a payroll of $108 million and won 88 games. Calculate the residual for this observation. A) –1.26 B) 5.22 C) 9.65 D) 11.70 E) 22.61 Answer: B From the regression, Predicted Wins = 71.87 + 0.101 x 108 = 82.778. actual wins = 88. The difference is the residual. 6. For a random sample of 90 people under the age of 30, the average resting pulse rate is 68 beats per minute, and the sample standard deviation is 5. For a random sample of 130 people over the age of 60, the average resting pulse rate is 82 with a sample standard deviation of 9. a) What is the standard error of the difference in means? b) What is the t-statistic for the hypothesis that there is no difference in means? c) What is the 95% confidence interval for the difference in means in the population? Answer: a) 𝑆𝐸ሺ𝑌 െ 𝑌 ሻ ൌ ට ൌ ට ଽ଴ ଵଷ଴ =0.9491 b) 𝑡 ൌ ሺ଺଼ି଼ଶሻି଴ . ଽସଽଵ
c) 95% CI: -14 1.96 0.9491 7) In the sample of 88 individuals that are diagnosed with the flu, let 0.42 represent the proportion of individuals that have pneumonia. In the sample of 102 individuals that are not diagnosed with the flu, let 0.24 represent the proportion of individuals that have pneumonia. a) What is the standard error of the difference in the means of these two samples? b) What is the t-statistic for the hypothesis there is no difference between the population proportions of individuals presenting with pneumonia among those with the flu and among those without the flu? c) What is the 90% confidence interval for the difference in the proportion of individuals in the population? Answer: This is just a special case (Bernoulli) of problem 6 above. For the Bernoulli sample, we can figure out the sample standard deviation from the sample proportions… a) 𝑆𝐸ሺ𝑌 ி െ 𝑌 ேி ሻ ൌ ට ಿಷ ಿಷ ൌ ට . ସଶሺଵି଴ . ସଶሻ ଼଼ . ଶସሺଵି଴ . ଶସሻ ଵ଴ଶ 0.0675 b) 𝑡 ൌ ሺ଴ . ସଶି଴ . ଶସሻି଴ . ଴଺଻ହ c) 90% CI: 0.18 1.64 0.0675 11. Investing in two assets with a correlation coefficient of 0.7 will reduce which kind of risk? A) Market risk B) Firm specific risk C) Systematic risk D) None of the above Answer: B
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