88 177 102 354 369 442 966 y 0.39 0.60 0.45 0.66 0.63 0.69 0.94 (a) The Investigators performed a simple linear regressi

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answerhappygod
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88 177 102 354 369 442 966 y 0.39 0.60 0.45 0.66 0.63 0.69 0.94 (a) The Investigators performed a simple linear regressi

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88 177 102 354 369 442 966 Y 0 39 0 60 0 45 0 66 0 63 0 69 0 94 A The Investigators Performed A Simple Linear Regressi 1
88 177 102 354 369 442 966 Y 0 39 0 60 0 45 0 66 0 63 0 69 0 94 A The Investigators Performed A Simple Linear Regressi 1 (48.94 KiB) Viewed 21 times
88 177 102 354 369 442 966 y 0.39 0.60 0.45 0.66 0.63 0.69 0.94 (a) The Investigators performed a simple linear regression analysis to relate the two variables. Does scatter plot of the data support this way? Yes, a scatter plot shows a reasonable linear relationship O No, scatter plot does not show a reasonable linear relationship (b) What proportion of observed variation in mist can be attributed to the simple linear regression relationship between velocity and we? Cound your answer to three decimal places) (c) The Investigators were particularly interested in the impact on mist of increasing velocity from 100 to 1000 (a factor of 10 corresponding to the difference between the smallest and largest x values in the sample), When x increases in this way, Is there substantial evidence that the true average increase in yis less than 0.67 (U 0.05.) State the appropriate null and alternative hypotheses OH:A-0.0006667 MA: A > 0.0006667 Оно: 1 -0.0006667 M: 0.0006667 Mo: B; - 0.0006667 M: < 0.0006667 ONO: A 0.0006667 MA -0.0006667 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) -6.45 X P-value .0013 X MacRook Pro
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