H23456789101112131415161718192021222324252627282930313233343536373839404142TestsA12,4314,0981718134,1414,2835,292731504,5104,2841,3942,2022,0531,5393,3324,2911,7704,5571,420663,8182,1545581,6452,7384,5982,4654,8312,6865564,3631,7751,2958015,6914,9934,3382.259CasesB5007057721ONE WP331,12787076811311,2511,1404602803283065051,14945292448451,0356141692527579406707105231251,285527120154885587964616CDEFGHIJ-KL Question 2: Are the two variables positively correlated or negatively?

The data shows the tests and cases variables.

Answered: Question 2: Are the two variables…

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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The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
Suppose two variables are negatively correlated. Does the response variable increase or decrease as the explanatory variable increases?
What does a correlation coefficient of 2 indicate? There is a weak relationship between the two quantitative variables. It indicates a calculation error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.
Which below describes an interaction between 2 variables? a. the effect of one independent variable depends on the levels of the second variable b. both variables are equally influenced by a third factor c. the two variables are differentially affected by a third variable d. both variables produce a change in the subjects' scores
Devise two scenarios where a dependent/matched/paired t-test would be appropriate. Be sure to express how you would measure your dependent variable.
Suppose that you conduct a study in which you observe parents and their children interacting at home. You find that the more supportive parents are, the less aggressive their children are. What conclusion can you make? Children being aggressive causes parents to be less supportive. Level of support and aggression are positively correlated. Level of support and aggression are negatively correlated. Parents being more supportive causes children to be less aggressive.
A group of researchers measured how funny people rated a cartoon when they were in one of two groups: holding a pen in their teeth (forcing them to smile) or holding a pen in their lips (forcing them to frown). For this study, identify the independent variable and the dependent variable. Justify your response.
The results from a research study indicate that adolescents who watch more violent content on television also tend to engage in more violent behavior than their peers. The correlation between amount of TV violent content and amount of violent behavior is an example of Question 25 options: a positive correlation a negative correlation a correlation near zero a correlation near one
Two variables are said to interact when Select one: a. the effect of one variable differs across the levels of the other variable b. both variables equally influence a third variable c. both variables produce a change in the subject's score d. the two variables are differentially affected by a third variable
If there is a strong correlation between the variables a and b, b must cause a. OA. True O B. False
Question 4Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of thecompany wants to know how different variables affect the sales of his vehicles. A random sample ofyearly data was taken with the view to testing the model:SALES=?+?AGE+?MIL+?ENGWhere SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the totalmileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data wasprocessed using MINITAB and the following is an extract of the output obtained: d) Hence test whether ? is significant. Give reasons for your answer. e) Perform the F Test making sure to state the null and alternative hypothesis. f) Given an interpretation of the term “R-sq” and comment on its value.
Ten observations were provided for a dependent variable y and two independent variables x1 and x2; for these data,

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