The following data is the number of tickets sold and the jackpot value for the Mega Millions lottery. The jackpot valueis in millions of dollars and the number of tickets sold is in millions.Jackpot value334 127 300 227 202180 164 145 255Number of tickets sold 54 16 4127231818 16 26r= 0.947tickets sold -10.87 +0.17 (jackpot value)Which is the independent variable and which is the dependent variable?X= independent variable =Y= dependent variableInterpret ².Interpret the slope.Predict the number of tickets sold when the jackpot value is 500 million dollars. Would you feel comfortable usingthe model for this value? Why or why not.

Let's analyze the information provided and answer the questions based on the data. 1. Identify the…

Answered: The following data is the number of…

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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15 wheelchair users were randomly assigned to three groups with 5 in each group. These participants navigated in virtual-reality settings. Group 1 participants were in the virtual-reality setting (a building) as wheelchair users. Group 2 participants were in the virtual-reality setting in a wheelchair pushed by a walking person. Group 3 participants walked without aid in the virtual-reality setting. Joan measured the time each participant needed to complete the navigation of the virtual-reality setting. What is the independent variable(s)?
Joan recorded the number of weeks that a patient was prescribed a medication after visiting the doctor. What is the variable in this set of data? a) the name of the doctor b) the type of medication prescribed c) the number of weeks of the prescription d) the name of the patient
Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.
What is the dependent and independent variable in the sentence below? What is the relationship between genderand A level of exam results?
State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association
An instructor is wondering if students who spend more time taking their final exam do better than those who take less time. The following data is gathered. Minutes 57 47 36 83 86 117 87 62 87 86 68 106 95 72 95 Score 96 92 92 77 96 96 81 85 88 96 70 81 77 74 77 What is the coefficient of determination? Multiple Choice −0.128 0.016 0.651 −0.053
D. Give your own examples: 24.Dependent Variable: Independent Variable: 25. Dependent Variable: Independent Variable:
During 10 weeks, a dealership recorded the number of TV ads (x variable) and the number of cars sold (y variable). The results are given in the following table. X 6 20 0 14 25 16 28 18 10 8 Y 15 31 10 16 28 20 40 25 12 15 Please asnwer questions on picture thank you
The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. heights Ages 73 28 76 22 74 23 72 24 77 24 78 27 76 31 79 28 73 27 78 35 74 33 79 36
The quantity of dissolved oxygen is a measure of water pollutants in rivers. Water samples were taken at three different locations in a river. You want to investigate whether the water pollution varied between locations, the independent variable in this study is: A. quantity of dissolved oxygen. B. water samples. C. river locations. D. polluted river. Answer B.
Consider the data. X; 2 6 9 13 20 Y; 9 2 10 25 22
The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. Heights Ages 74 28 73 26 80 25 71 24 75 29 74 26 74 27 75 30 72 29 73 37 70 36 78 34

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