Answered: 13. The following table shows the… | bartleby

MATLAB: An Introduction with Applications

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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13. The following table shows the distribution of nappies consumed per day by number of babies
in a sample of childminders.
babies
nappies
8
40
11
33
5
10
7
28
6
30
8
56
5
15
13.1) Find the correlation coefficient. Comment briefly on the result.
13.2) Find the equation of the line of best fit when Y= nappies per day and X = number of
babies.
13.3) Comment briefly on the slope and intercept of the line of best fit.
13.4) Elli decides to start to work as a childminder and wants to provide nappies. She plans to
accept 5 babies. What is the estimated number of nappies per day she needs to buy based
on the regression equation? If she buys 19 nappies per day is this more or less than the
number predicted by the line of best fit, and if so, by how much?

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A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three -year period. The average Sales were 63, 200 pounds (SD = 10, 670 pounds), and the correlation between Price and Sales was -0.529. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
11. Why doesn't correlation equal causation?
10. Describe the pattern of data that is observed when there is a strong negative correlation between X and Y.
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Solve all parts , second photo is the graph that was requested.
10) The top point in the scatter plot (6.5, 1459) is for Washington, DC. Find the predicted DC violent crime rate if x=6.5. Then find the residual for DC using the predicted violence crime rate and the actual violent crime rate (the actual crime rate is provided in the first sentence of this question). Prediction = Actual y-value = Residual =
16. In comparing the relationship between rainfall and hot dog sales, a student finds the correlation to be r = -0.56. What is the best description of the relationship between these two sets of data? Group of answer choices Negative and Strong Positive and Weak Negative and Moderate Positive and Moderate
5. True or False a) The correlation coefficient will always be negative when the slope of the line of best fit is negative. Explain your reasoning. Line B: y = 4x - 6 b) Two lines of best fit have these equations: Line A: y = 2x + 4 Joe says that line B has a stronger correlation since it has a greater slope. Explain. c) Merner's golf drives have a mean distance of 200 m with a standard deviation of 5 m, while Phillip's golf drives have a mean distance of 215 m with a standard deviation of 25 m. Merner is a better golfer than Philips since he is more consistent and has a higher average drive distance.
An LCBO employee compares the relationship between the price of 6 different vintage bottles of wine, and the number of those bottles that have been purchased in the last 3 months to see if there is a correlation between the number of bottles purchased and the price of the bottle. Number of Bottles of Wine Purchased in the Price of Wine Bottle ($) Last 3 Months 44 18 93 65 82 56 25 60 15 30 20 40

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