Final - Multile Regression 41 1,15 ?’ L0“ L58? , t...

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Unformatted text preview: Multile Regression 41 1,15 ?’ L0“ L58? , t Write the equation that best predicts bear using ead len,@nd@ (Use the data on p. 550, not the longer lists in the appendix. (th': 1. The equation: y = ~0. Raga/2971i -.- 6. 732 I‘M/egg -/, 7/5/e7y44 r/3.5I5neak $8.99 ./ 2. R—Squared 1 03¢? 3. Adjusted R—Squared = 0- 9/ 9 (, 4. Give the predicted bear age for the following x values: Weiht Head Len h Len h Neck AGE Write the equation that best predicts a bear’s eight usmg the bear s age. /‘ The equation: y = 5.375 K + 60. $7 Correlation: r z a . 9/4- What percent of the change in—lengfll is due to its linear relationship with age? r 2510.662 2/56 I (View ‘ l \ i ‘ 1 . ,7 1 x ,, A e 28 33 1 30.9 /67 29.] m 73 79.“; 181 1/74 3 g l___ Weightl75.‘l’ __ a 349.2 334.3 1466.8 law/250.5 .307 175.8 492/7 327. ' III Chi-Squared Tests..Give‘ the 5 statistics, and the critical value for a = .05 for each , /{ W E ual Ex ecations Une ual ex ectations Multiple Columns i #- Sold # Lost % Expected Auto repairs: brands & location Mon 95 _ .20 84. Det Phil N.Y. Phoe "WW9 Tues 122 .28 W' 6 Chev 250 254 522 104 ' ed v 121 .33 139' 5 Ford 212 288 355 80 I Thur 40 .10 42 a Dodge 105 177 155 ' 41 44’ Fri, 44 .09 3 3’ H 1.? «347.047 6 / _/ x24. 9/7 L m: = 7.3m- / _ “1120.296 . g 44:6 - A” 1 4‘ K daemon ~' fiejtoé "% decisions? Moi, I 0} gal, #0 K ANOVA Random samples were taken in 4 cities asking how long peo e had lived at their current addresses. Here are the results: at : a. 05’ fr . w 0 .17. Ph1ladelph1a Los Angeles Portland‘ -M1am1 21.4 . 8.5 12.5 8 7.2 6.6 14.5 11.4 " 13 - 1524 10 ’13' 16 9 5.7 6 . 17 10 3.8 8.1 12 6 3.1 Farmers in South Dakota (SD) and Nebraska (NB) were sampled to learn how large their farms were“ 213 farmers in SD had farms averaging 3419 acres with a standard deviation of 1015 b.) ‘Give the 90% or. for 115D — #NB (m. 3, $49. 0.) Test the claim that ,u = ,u #0 Z = 7,284 ‘ w v*' ":1" .. SD - 'NB Pu“! :1 3A 3 i Qumran .~ Nae wit-49 ya ' .1 u couny 244 of a_) Give the 99.5% Cl forpgmsme X =15 5,”: 990 v . ‘H 4: Y4» ¢ P I d {0 ~ ' H b_) Test the 01mm thati-iiflz'mk‘,n = parindsmn: his; a {‘02 lgvel hfnslignificance. c. .Give the 95"/ CI. for alarm - ' one ) 0 pH pgmda ( «o. aé 3‘, org ' “it A fair die is rolled 18 times. The random variable is the W lib/é ’1": Vé a.) What is the mean of this distribution? 3. ' b.) What is the standard deViation? E:— ‘ ~ \ l S\ c.) What is the probability of rolling a four 10 or more times? I, 959x“:— 4 4 9V“ d.) What is the probability of rolling a two between 5 and 10 times inclusive? 0. 26% W What is the probability of rolling a two OR a three fewer than .6 times? aQZZ— M _ .. The life expectancy of an Amazonian gecko is normally distributed with a mean of@/ and a standard deviation of 7. W a.) What is the probability that a gecko would live 4 ’6} toot 0. 9 2 a a b.) What is the probability that a gecko would live between 2.5 and 0; c.) 98% of all geckos live less than how man 5. OBS/mag” . What sample size is needed to provide ad/nargin of error of .015 nd 6% level 0 — _ confidence if no sam 1e ro ortion data is available? _§__ 2 ‘ 2. fl ' ' APE—hp p ha (mg) aic—jfij—é} azsgw A 2. ‘ re # 1: What Sample size would be required if thesagnple preportion was known to be .§77 A: aw =(%°:s)Z-5776429€i§.27/ ‘ " 3. A November 2000 pol of 1640 likely voters reported a sample proportion of g 02 favoring Gore for president. The margin of error was 1.035. What was the level of c ’nfi ' Make up and do a challenging problem that you wish had been part of this exam. 3- iv I engaged, #23 aéwa!‘ 59 égméay 9M .17 («4‘5 "" ~ “t dr/Wuyf “J‘Vflg i i J- 7 £14”; f’b b/élflf . .. #1 mm lag/71 M. 5w ' \ AWL 'flilzwlflt, HazfizfmmJai 474,5;7 v - fill—4'32 41L 1 3+ )4 I p t'\\ ...
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Final - Multile Regression 41 1,15 ?’ L0“ L58? , t...

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