Cholesterol levels tend to increase with age. As a statistician, develop a mathematicalrelationship between age and cholesterol level based on the data given in Table Q3using a suitable statistical model. Comment on the reliability of the relationship inestimating cholesterol levels. TABLE Q3: Ages and cholesterol levelsAgeCholesterol level58189692354319339177631545219147213311657419836181

Given data, Age Cholesterol level 58 189 69 235 43 193 39 177 63…

Answered: Cholesterol levels tend to increase…

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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Enter the ranks for the rates of AIDS patients per 1000 population, using 1 for the largest value and 6 for the smallest. Region AIDS Rank Cases Population AIDS per 1000 population Rank Rate A 72,471 1 19,206,132 3.77 ▼ 3 2 4 1 5 6 B 65,139 2 36,453,357 1.79 ▼ 3 6 4 1 2 5 C 48,007 3 18,200,006 2.64 ▼ 4 5 6 3 1 2 D 31,186 4 23,909,187 1.30 ▼ 2 6 3 4 5 1 E 18,072 5 12,430,135 1.45 ▼ 5 6 3 4 2 1 F 6,127 6 594,514 10.30 ▼ 3 5 2 4 6 1
Listed below are pulse rates (beats per minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. Does there appear to be a difference? Male: Female: 92 69 89 55 95 98 67 55 58 61 57 63 56 55 78 61 64 81 86 89 67 85 88 92 74 92 93 79 78 71 Find the means. The mean for males is beats per minute and the mean for females is (Type integers or decimals rounded to one decimal place as needed.) beats per minute.
For these data set: 390, 460, 650, 710, 760, 780, 800, 830, 860, 890, 910, 950, 970, 1040, 1090, 1090, 1130, 1150, 1170, 1240, 1290, 1370, 1470, 1500, 1520, 1580, 1720, 2140 What is the (most likely) discrete unit for this data set? What is the span of the range? Using this value, if the goal is to have 10 classes, what is the nicest class width?
Please answer all these questions and label, data included: Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 10. Based on all of the above questions, what will you conclude about the relationship between house size and rent price? 11. Construct a 95% confidence interval estimate of the population slope, β1. 12. Construct a 95% confidence estimate of the mean renting cost of a house that is 2000 square feet. 13. Construct a 95% prediction interval of the renting cost of an individual house that is 2000 square feet.
Fill in the missing data. 2590 2440 1920 1870 1870 1420 1410 1390 1340 1200 1190 1170 1070 1020 919 900 889 856 793 777 752 723 680 661 649 Length Frequency 500-999 1000-1499 1500-1999 2000-2499 2500-2999
The caloric content (in calories) and sodium content (in mg) were collected for 27 beef hotdogs. The data are in the table below. X, caloric content Y, sodium content 141 386 153 401 139 322 135 298 157 440 149 319 184 482 140 326 185 486 187 499 186 495 175 479 191 591 159 374 111 300 149 379 190 587 177 429 176 425 190 645 131 317 148 375 132 253 182 481 176 483 181 477 149 322
Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
The caloric content (in calories) and sodium content (in mg) were collected for 27 beef hotdogs. The data are in the table below. X, caloric content Y, sodium content 157 440 149 322 187 499 149 379 190 587 175 479 185 486 190 645 148 375 150 326 182 481 135 298 132 253 176 483 158 370 191 591 186 495 159 374 177 429 152 330 111 300 149 319 176 425 184 482 139 322 140 326 131 317
Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
your car is more crowded than you think. table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.

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