(b) A grocery store collected sales data. It found that a change in price does not imply that people will buy more or less milk. Whatcan we determine from this information?O There is no correlation between price and amount of milk bought.O There is a correlation between price and amount of milk bought. However, there is no causation. This is because there is likely a decrease inthe amount of milk bought with an increase in the price.O There is a correlation between price and amount of milk bought. There may or may not be causation. Further studies would have to be doneto determine this.(c) Mr. Chang studied his students' geography test scores and TV habits. He found that students who watched less TV tended toearn higher scores on the test. What conclusion should he make?O There is no correlation between test score and amount of TV watched.O There is a correlation between test score and amount of TV watched. There is probably also causation. This is because there is an increasein a student's test score with a decrease in the amount of TV watched.O There is a correlation between test score and amount of TV watched. There may or may not be causation. Further studies would have to bedone to determine this.E

Concept: Correlation measures degree of linear relationship between two variables. Note: According…

Answered: (b) A grocery store collected sales…

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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C. Give an example for each of the following: a. Two variables in which you have enough reasons to explain their cause-and-effect relationship. State the independent (x) and dependent variable (y). Provide also description of the cause-and-effect relationship. b. Two variables from which a considerable possible nature of linear correlation may exist. Explain briefly the possible nature of the relationship. State both variables and give a short description of their relationship.
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
Statistics Question
8.
You have been asked to find if there is a correlation between the amount of calories per serving in a bowl of cereal versus the amount of sugar (in grams) in the cereal. The following data has been given Which variable is the predictor and which variable is the response Sugar Calories 18 200 23 210 12 170 12 190 37 220 19 175 23 201 22 210 32 210 11 190 11 197 29 205
If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.
Does "correlation imply causation"? Give one example in which a variable X ispositively correlated with another variable Y, but we cannot deduce that X causes Y.
31
According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________. a. People who are happier tend to be less lonely. b. People who are happier tend to be more lonely. c. There is no link between happiness and loneliness. d. There is a causal relationship between happiness and loneliness.
When the values of x tend to increase while the values of y tend to decrease; we say that: Answer choices: a. there is a cause-and-effect relationship between the two variables. b. there is a negative correlation between the variables. c. there is no correlation between the two variables.
A national consumer magazine reported the following correlations. The correlation between car weight and car reliability is - 0.30. . The correlation between car weight and annual maintenance cost is 0.20. Which of the following statements are true? I. Heavier cars tend to be less reliable. II. Heavier cars tend to cost more to maintain. III. Car weight is related more strongly to reliability than to maintenance cost. (A) I only (B) II only (C) III only (D) I and II only (E) I, II, and III

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