FatalitiesLn Safety Belt Rate10713.95124371911384.0587173859964.2570301449914.37449836810384.36564315510044.34898678111544.38202663511484.40427724412074.41763506211104.4103711089694.4555094118484.499809678624.5152454788954.4773368148654.4942386258534.5777989898204.5612182988504.53582010810834.5217885779484.5315236469534.5196122988564.525044142create linear regression analysis through excel

The data set is inserted in the excel as follows:

Answered: Fatalities Ln Safety Belt Rate 1071…

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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W W for 50 different cell phones. Find the percentile corresponding to 0.77 kg kg Use the accompanying radiation levels in Click the icon to view the radiation levels. W The percentile corresponding to 0.77 is kg
Interpret the Coefficient of Determination New Cases New Deaths 1765 4 1097 5 891 4 959 6 937 58 1047 26 1353 9 1776 8 1952 34 1906 8 2052 11 1524 139 1453 146 1912 40 2048 137 2058 8 1895 11 2163 14 1357 69 1862 64 1783 74 2178 20 1797 54 1949 53 1581 50 1173 94 2245 95 1169 71 1849 48 2109 71 2103 80 1658 58 1583 67 1266 68 1590 55 1894 61 1941 52 1790 70 1690 52 1235 65 1345 114 1734 68 2022 26 1960 12 1928 8 1685 2 1391 7 1184 53 1744 96 1901 157 2240 239 1888 20 2288 6 1414 16 1557 22 2269 72 2651 46 2921 42 2113 29 2037 4 2067 47 1783 20 2452 15 3045 19 3439 42 3276 51 3356 5 2668 7 2886 17 3749 63 4578 87 5000 72 4899 63 5404 8 4437 11 4387 18 5290 21 7103 13 7999 30 7757 39 8019 4 5867 20 6666 47 8773 56 9838 54 9595 10 9475 11 10016 16 9296 5 6128 106
Color Frequency Relative FrequencyRed 10 1057=0.1754Orange 12 1257=0.2105Blue 12 1257=0.2105Green 5 557=0.0877Yellow 8 857=0.1404Brown 10 1057=0.1754 N=57 1 ⦁ Computed Mean = __________________ Computed Standard Deviation = ________________(Round all decimals to the nearest tenth).
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Male Female 27,767 20,516 17,413 24,972 6,080 4,900 28,523 17,661 25,137 11,901 9,821 17,562 21,857 9,865 16,491 21,047 27,687 12,095 23,361 20,089 12,272 16,244 9,584 14,395 13,562 15,467 23,151 23,501 20,071 5,715 142 19,698 21,957 21,640 8,722 18,345 21,058 16,616 17,940 15,249 15,001 28,849 20,938 6,825 6,151 17,111 8,370 4,197 27,687 12,989 11,589 16,879 12,021 13,322 13,709 20,292 12,888 19,417 17,879 14,061 13,743 32,349 11,268 8,738 22,102 10,475 16,788 11,971 10,387 28,702 13,809 22,947 15,644 16,386 11,044 20,101 17,933 20,564 11,413 14,483 11,842 17,349 6,794…
(b) Determine and interpret the interquartile range. The interquartile range is ______ crimes per 100,000 population.
A random sample of Californians has a mean age of 34.4, but you want to know the mean age of all Californians. It sounds like you want to generalize from a ________ to a _________, and therefore you need to worry about ________. a. population; sample; descriptive statistics b. statistic; parameter; sampling error c. central tendency measure; variability measure; random selection d. sample; population; operational definitions
Lower Upper f cf rf crf 14 19 10 10 0.2 0.2 20 25 11 21 0.22 0.42 26 31 8 29 0.16 0.58 32 37 6. 35 0.12 0.7 38 43 15 50 0.3 1 The frequency table shown above shows ages from a random sample of 50 people. a. How many people are between 20 and 25 years of age? b. How many people are 25 years old or younger? c. How many people are older than 25? d. What percent of people are 25 years old or younger? Enter a whole number. cor e. What percent of people are between 20 and 25 years of age? Enter a whole number. Submit Question Jump to Answer MacBook Air O00 O00 F4 11 F8 F2 F3 F5 F6 F7 F9 %23 24 & * 3 4. 8. 9- E RI 6
A particular report included the following table classifying 816 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 50 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 79 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 193 9 p.m. to midnight 134 For purposes of this exercise, assume that these 816 bicycle accidents are a random sample of fatal bicycle accidents. Do these data support the hypothesis that fatal bicycle accidents are not equally likely to occur in each of the 3-hour time periods used to construct the table? Test the relevant hypotheses using a significance level of a = 0.05. Let P1. P2: P3: P4 Ps: Pe: P7, and Pg be the proportions of accidents occurring in the eight different time periods. State the appropriate null and alternative hypotheses. O Ho: P1 = P2 = P3 = P4 = Ps = P6 = P7 = Pg = 816 H: Ho is not true. O Ho: P1 = P2 = P3 = P4 = P5 = P6 = P7 =…

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Fatalities	Ln Safety Belt Rate
1071	3.951243719
1138	4.058717385
996	4.257030144
991	4.374498368
1038	4.365643155
1004	4.348986781
1154	4.382026635
1148	4.404277244
1207	4.417635062
1110	4.410371108
969	4.455509411
848	4.49980967
862	4.515245478
895	4.477336814
865	4.494238625
853	4.577798989
820	4.561218298
850	4.535820108
1083	4.521788577
948	4.531523646
953	4.519612298
856	4.525044142