A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: Temperature, x : 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Converted Sugar, y: 8.1 8.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 10.2 10.5 Estimate the mean amount of converted sugar produced when the coded temperature is 2.8. (2 decimal places)

A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded as follows: Temperature, x : 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 Converted Sugar, y: 8.1 8.8 8.5 9.8 9.5 8.9 8.6 10.2 9.3 10.2 10.5 Estimate the mean amount of converted sugar produced when the coded temperature is 2.8. (2 decimal places)

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.3: Modeling Data With Power Functions

Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...

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Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?
question 13 Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 4 47.6 5 48.18 6 43.36 7 41.34 8 41.32 9 38 10 38.68 11 33.86 12 31.84 13 32.92 14 29.8 15 29.18 16 25.46 17 24.64 18 22.12 19 18.3 r=
Question 4: The following data includes the year, make, model, mileage (in thousands of miles) and asking price (in US dollars) for each of 13 used Honda Odyssey minivans. The data was collected from the Web site of the Seattle P-I on April 25, 2005. year make model mileage price 2004 Honda Odyssey EXL 20 26900 2004 Honda Odyssey EX 21 23000 2002 Honda Odyssey 33 17500 2002 Honda Odyssey 41 18999 2001 Honda Odyssey EX 43 17200 2001 Honda Odyssey EX 67 18995 2000 Honda Odyssey LX 46 13900 2000 Honda Odyssey EX 72 15250 2000 Honda Odyssey EX 82 13200 2000 Honda Odyssey 99 11000 1999 Honda Odyssey 71 13900 1998 Honda Odyssey 85 8350 1995 Honda Odyssey EX 100 5800 Compute the correlation between age (in years) and mileage for these minivans. (Assume the correlation conditions have been satisfied and round your answer to the nearest 0.001.)
QUESTION 4 Determine whether the given percentage is a statistic or a parameter and why. In a study of all 1018 students at Guttman, data showed that 10% live in Queens. a. Parameter because the value is a numerical measurement describing a characteristic of a sample. b. Statistic because the value is a numerical measurement describing a characteristic of a sample. c. Parameter because the value is a numerical measurement describing a characteristic of a population. d. Statistic because the value is a numerical measurement describing a characteristic of a population.
QUESTION 4 (a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 (b) Finally, the researcher is interested in examining the regression model for knowledge, attitude and practices towards the COFLU-20. The following model was developed to forecast individual practices towards COFLU-20 using knowledge and attitude scores. P = α + β K + δ A where P = Practice towards COFLU-20 score K = Knowledge towards COFLU-20 score A = Attitude towards COFLU-20 score The data are processed using…
Question 16: Run a regression analysis on the following bivariate set of data with y as the response variable. x y 48.6 77.8 85.7 25.8 33.9 -37.3 65.2 32.5 95.7 68.7 74.7 100.1 46.5 -34.3 43.8 -12.1 39 -64.1 77.7 36.8 69.1 43.6 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of -21.9 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)
QUESTION 9 The Department of Trade and Industry (DTI) conducted a survey to estimate the average number of employees per small and medium-sized enterprises (SME) in Free State. For a random sample of 144 SMEs in Free State, the DTI found that the average number of employees was 24.4. Assume that the population standard deviation is 10.8 employees and that the number of employees per SME is normally distributed. Using this information and rounding off the z or t values that you derive to 2 decimal places, the 95% confidence interval of the average number of employees per SME in Free State is for the lower limit andfor the upper limit. (Note: write your final answers to 3 decimal places and when writing your answer use "." (3.250) instead of "," (3,250) with no spaces between digits).