stats_030310 - *slope = 85.696 - .223 x 70 (DO THIS FIRST)...

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EX 2.8 page 21 The distribution of hours spent watching TV for a sample of 217 is shown in figure 1. Most students watch less than 30 hours of TV but there were 2 students who watched an unusually large amount of TV (being 60 and 70 hours). The distribution is postively skewed with 50% of students watching less than 10 hours of TV.
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The distribution of resting pulse rate for a sample of 167 students is shown in figure 1. The distribution was fairly symmetrical with a mean of 71.18 pbm (SD = 9.798). The pulse rates ranged from 50 to 97 bpm.
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NEW QUESTION Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 85.696 4.044 21.191 .000 weight in kg -.223 .061 -.280 -3.662 .000 a. Dependent Variable: Pulse rate - resting (beats/min) Resting pulse rate = 85.696 - .223 x weight *intercept
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Unformatted text preview: *slope = 85.696 - .223 x 70 (DO THIS FIRST) = 70.086 USE THIS LANGUAGE: We predict. .that for every extra kg the resting pulse rate will increase by .0223 ?????? On average. Ex 3.5 page 32 In a sample of 219 students there is virtually no linear relationship and dominant hand reaction time (r = .111) Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 56.331 2.574 21.881 .000 age .239 .088 .185 2.722 .007 In a sample of 211 students (shown in figure 1.) there is a very weak linear relationship between age and weight (r = .185). There is a slighty tendency for older people to weigh more. On average for each additional (10) year in age we can predict an extra (2.4) .24 kg in weight. Weight = 56.331 + .239 x age...
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This note was uploaded on 10/27/2010 for the course ENGINEERIN CIC taught by Professor Loren during the Three '10 term at Swinburne.

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stats_030310 - *slope = 85.696 - .223 x 70 (DO THIS FIRST)...

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