As approaches to health-care coverage change, Health Maintenance Organizations (HMOs) aregrowing in popularity. Some business analysts wondered how the increase in popularity affectedthe financial health of the HMOs, They collected data on revenue (y, in $ billions) and numbers ofmembers (in millions) for ten different HMOs and obtained the summary data below.Σχ = 21.09Ey = 31.97Sxx = 8.93Syy = 15.09 Sxy = 10.21Which of the following best represents the proportion of the variation in revenue thatnatiexplained by its linear relationship with numbers of members?0.7740.8801.1340.9930.92540n = 10

Answered: Image /qna-images/answer/4879ddf2-ed83-4ca4-955d-58ecdede7395.jpg

Answered: members (in millions) for ten different…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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From the data given below compute quantity index for 1983 Price in 1982 (Rs.) 10 20 30 30 Quantity in 1982 100 150 200 150 Commodity 1983 150 200 250 200 ABCD
To compute a student's Grade Point Average (GPA) for a term, the student's grades for each course are weighted by the number of credits for the course. Suppose a student had these grades:3.6 in a 5 credit Math course2.5 in a 2 credit Music course3.0 in a 5 credit Chemistry course3.1 in a 6 credit Journalism courseWhat is the student's GPA for that term? Round to two decimal places. Student's GPA
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2000 2009 Seafood Qty. (Ib) Price ($/lb) Price ($/lb) Halibut 75,190 2.01 2.33 Lobster 83,080 3.62 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I2009 %D Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices hav v ---Select--- |by % over the 9-year period according to the index. increased decreased
The table below shows data from a recent car trip for the Burke family. Hours After Leaving (x) 1 2 3 4 5 Miles from Home (y) 45 112 178 238 305 State the average rate of change for the distance traveled between hours 2 and 4. Include appropriate units.
6.6 You estimated a regression with the following output. Source | SS df MS Number of obs = 209 -------------+---------------------------------- F(1, 207) = 92470.91 Model | 622579639 1 622579639 Prob > F = 0.0000 Residual | 1393670.56 207 6732.70804 R-squared = 0.9978 -------------+---------------------------------- Adj R-squared = 0.9978 Total | 623973310 208 2999871.68 Root MSE = 82.053 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 34.2537 .1126432 304.09 0.000 34.03163 34.47578 _cons | 8.806569 10.31802 0.85 0.394 -11.5353 29.14844…
e 6. From the following data, estimate the number of persons earning wages between 60 and 70 rupees. Wages in rupees No. of persons in thousands Below 40 250 40 60 120 60 80 100 80 100 70 100 120 50
1.56 Longleaf pine trees. The Wade Tract in Thomas County, Georgia, is an old-growth forest of longleaf pine trees (Pinus palustris) that has survived in a relatively undisturbed state since before the settlement of the area by Europeans. A study collected data on 584 of these trees. One of the variables measured was the diameter at breast height (DBH). This is the diameter of the tree at 4.5 feet, and the units are centimeters (cm). Only trees with DBH greater than 1.5 cm were sampled. Here are the diameters of a random sample of 40 of these trees: PINES 27 10.5 13.3 26.0 18.3 52.2 9.2 26.1 17.6 40.5 31.8 47.2 11.4 2.7 69.3 44.4 16.9 35.7 5.4 44.2 2.2 4.3 7.8 38.1 2.2 11.4 51.5 4.9 39.7 32.6 51.8 43.6 2.3 44.6 31.5 40.3 22.3 43.3 37.5 29.1 27.9 (a) Find the five-number summary for these data. (b) Make a boxplot. (c) Make a histogram. (d) Write a short summary of the major features of this distribution. Do you prefer the boxplot or the histogram for these data?
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2000 2000 Price ($/lb) 2009 Seafood Qty. (Ib) Price ($/lb) Halibut 75,090 2.01 2.33 Lobster 83,180 3.62 3.09 Tuna 50,779 1.87 1.97 (a) Compute a price relative for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I 2009 - Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have --Select--- v by % over the 9-year period according to the index.
Perform a chi-square independence test, provided the conditions for using the test are met. Researchers studied the bone mineral density (BMD) and depression of men aged 65 to 92 years. At the 1% significance level, do the data in the table (taken from a random sample) provide sufficient evidence to conclude that BMD and depression are statistically dependent for elderly men? Click on the icon to view the data table. What are the null and alternative hypotheses? O A. Ho: BMD is dependent upon depression in elderly men. H₂: Depression is dependent upon BMD in elderly men. B. Ho: Depression and BMD in elderly men are statistically dependent. H₂: Depression and BMD in elderly men are statistically independent. O C. Ho: Depression and BMD in elderly men are statistically independent. H₂: Depression and BMD in elderly men are statistically dependent. Find the test statistic. x² = Find the P-value. P= (Round to four decimal places as needed.) What is the conclusion of the independence test?…
pan's high population density has resulted in a multitude of resource-usage problems. One especially serious difficulty concerns waste removal. An article reported the development of a new compression machine for processing sewage sludge. An important part of the investigation involved relating the moisture content of compressed pellets (y, in %) to the machine's filtration rate (x, in kg-DS/m/hr). The following data was read from a graph in the article. x 125.8 98.1 201.4 147.3 145.9 124.7 112.2 120.2 161.2 178.9 159.5 145.8 75.1 151.5 144.2 125.0 198.8 133.9 y 77.9 76.8 81.5 79.8 78.2 78.3 77.5 77.0 80.1 80.2 79.9 79.0 76.9 78.2 79.5 78.1 81.5 71.0 (a) Determine the slope and intercept of the estimated regression line. (Round your answers to 5 decimal places, if needed.)slope: intercept: (b) Does there appear to be a useful linear relationship? Carry out a test using the ANOVA approach and a significance level of 0.05. State the appropriate null and alternative hypotheses.…
Systolic coefficients of variation are 14.2% and the Diastolic is 17% The coefficients of variation for each data set are: a. more than 5 percentage points apart b. within 5 percentage points of each other Therefore, the systolic measurements vary a. about the same as b. significantly more than c. significantly less than the diastolic measurements.
2015 2020 ITEM PRICE QUANTITY PRICE QUANTITY Cup of coffee 8.50 50 10.50 60 Toasted cheese sandwich 13.00 35 14.00 25 English muffin 9.00 120 9.50 138 The preliminary analysis of the data produced the following table: po qo p1 q1 poqo poq1 p1qo p1q1 8.50 50 10.50 60 425 510 525 630 13.00 35 14.00 25 455 325 490 350 9.00 120 9.50 138 1080 X 1140 1311 Σ W Y 2155 Using the table of analysis shown above, answer the following questions (use 2015 as the base year):

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