An article reported data from a study in which both a baseline gasoline mixture and a reformulated gasoline were used. Consider the following observations on age (yr) and NO, emissions (g/kWh 2 3 7 10 2 4 1.22 4.05 3.40 0.72 1.45 Engine Age Baseline Reformulated LAUSE SALT 1 0 1.74 4.41 1.89 5.95 4 11 1.29 2.70 16 0.76 8 0 12 3.43 0.76
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- The relative risk of developing lung cancer among individuals who smoke is 15.0. Which of the following is the most accurate interpretation of this information?A paper described a study that examined whether stress accelerates aging at a cellular level. The accompanying data on a measure of perceived stress (x) and telomere length (y) were read from a scatterplot that appeared in the paper. Telomere length is a measure of cell longevity. Perceivedstress Telomerelength Perceivedstress Telomerelength 5 0.93 20 1.19 6 0.94 20 0.95 6 0.96 20 0.91 7 0.92 21 0.95 10 1.14 21 1.2 11 1.03 21 1.08 12 0.92 22 1.11 13 1.06 22 1.23 14 0.99 22 0.89 14 0.9 23 1.27 15 1.16 24 0.94 15 1.07 24 1.08 15 1.09 25 1.2 17 0.95 26 0.98 17 0.93 27 1.16 17 1.11 27 1.25 18 1.01 28 1 18 1.07 29 1.22 19 1.15 33 0.9 (a) Compute the equation of the least-squares line. (Round your answer to four decimal places.)y = (b) What is the value of r2? (Round your answer to four decimal places.)r2 =The table below shows the observed pollution indexes of air samples in two areas of a city. Test the hypothesis that the mean pollution indexes are the same for the two areas.
- Which type of model is most appropriate for the following data? x12345678y2.635.857.748.921010.9511.4912.09In 2007, a university study was published investigating the crash risk of alcohol impaired driving. Data from 2,871 crashes were used to measure the association of a person’s blood alcohol level (BAC) with the risk of being in an accident. The table below shows results from the study. BAC 0 .01 .03 .05 .07 .09 .11 .13 .15 .17 .19 .21 risk 1 1.03 1.06 1.38 2.09 3.54 6.41 12.6 22.1 39.05 65.32 99.78 a. Find the best fit exponential model for the risk of having an accident based on your BAC. b. Use your model to predict the relative risk of having an accident for a person with a BAC of 0.08 which is the legal limit in GA. c. What BAC would make you 50 times more likely to have an accident than someone who has not been drinking?Exposure to microbial products, especially endotoxin, may have an impact on vulnerability to allergic diseases. The following are data on concentration (EU/mg) in settled dust for one sample of urban homes and another of farm homes. U: 6.0 5.0 11.0 33.0 4.0 5.0 80.0 18.0 35.0 17.0 23.0 F: 6.0 13.0 13.0 8.0 9.0 6.0 2.0 17.0 6.0 8.2 21.0 9.7 3.0 2.0 0.5 n USE SALT (a) Determine the sample mean for each sample. (Round your answers to four decimal places.) urban homes EU/mg farm homes EU/mg How do they compare? O The average endotoxin concentration in urban homes is more than double the average concentration in farm homes. O The average endotoxin concentration in farm homes is more than double the average concentration in urban homes. O The average endotoxin concentration is about the same in both urban and farm homes. (b) Determine the sample median for each sample. urban homes EU/mg farm homes EU/mg How do they compare? O The median endotoxin concentration is about the same in both urban…
- Exposure to microbial products, especially endotoxin, may have an impact on vulnerability to allergic diseases. The following are data on concentration (EU/mg) in settled dust for one sample of of farm homes U: 9.0 4.0 13.0 32.0 1.0 5.0 81.0 20.0 37.0 15.0 25.0 F: 2.0 16.0 12.0 7.0 7.0 7.0 4.0 19.0 3.0 7.8 22.0 8.7 1.0 1.0 0.7 (a) Determine the sample mean for each sample. (Enter your answers to two decimal places.) For urban homes, -22 ✔EU/mg EU/mg For farm homes, x-750 How do they compare? to the dotoxin con otrationA large manufacturing company producing air conditioner compressor believes the number of units of air conditioner sold is related to atmospheric temperature. An R&D officer conducted a study and gathered the following data: 3. Day Sale Temperature (Fahrenheit) 63 (in thousands) 1.52 1 2 70 1.68 3 73 1.8 4 75 2.05 80 2.36 6. 82 2.25 7 85 2.68 8 88 2.9 9. 90 3.14 3.06 3.24 10 91 11 92 12 75 1.92 13 98 3.4 14 100 3.28 Construct an estimated regression line between temperature and number of units sold. а) b) Does the model in part (a) confirm that contribution of temperature to number of units of air conditioner sold? Test using a 0.05. Find the coefficient of correlation. What does the value imply about the relationship of the two variables? c) If the temperature soared to 120 Fahrenheit, can you predict the number of units of air conditioner sold? Explain d)Two of the hottest smartphones on the market are the newly released iPhone6 and the Samsung Galaxy S6. CNet.com offers online reviews of all major cell phones, including battery life tests. In a review of the iPhone6, the talk-time battery life of 35 iPhones was measured. Similarly, the talk-time battery life of 30 Galaxy S6s was measured. Two outputs are given below. Which is appropriate for analyzing the data collected? Output 1 lhi Mean of iPhone6 Hz : Mean of Galaxy S6 Sam ple Diff. Output 2 HR = mean of the paired difference between iPhone6 and Galaxy S6 Difference Std. Err. Difference Sam ple Diff. Std. Err. H1 - Hz -0.71759861 0.189403 iPhone6 - Galaxy S6 -0.754246 0.192151 Possible p-values: 0.0001, 0.0002, 0.9999 Possible p-values: 0.0002, 0.0004, 0.9998 OOutput 1 Output 2 Using the StatCrunch output chosen above, determine if there is a difference in the mean battery life for the two phones. Use a significance level of 0.01 when conducting the test. • Select the appropriate…