n instructor asked a random sample of eight students to record their study times at the beginning of a course. She then made a table for total hours studied​ (x) over 2 weeks and test score​ (y) at the end of the 2 weeks. The table is given below. Complete parts​ (a) through​ (f).   x 9 13 10 18 6 18 14 23   y 94 82 80 76 85 82 88 77   y = _____ + (___________)x (round to two decimal places as needed) b. Graph the regression equation and the data points.   c. Describe the apparent relationship between the two variables.

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A:

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A: Given, X Y 1004 40 975 100 992 65 935 145 977 79 922 153

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Q: Credit Hours xi, Grade Values 12 4 20 3 26 2 2 1 0 0

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Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!