A researcher measures the correlation between two variables. This correlation te

Question

A researcher measures the correlation between two variables. This correlation tells us a. whether there is a relation between two variables. b. whether a scatterplot shows an interesting pattern. c. whether a cause and effect relation exists between two variables. d. the strength and direction of a straight line relation between two variables. Curiously, during months when sales of beer are above average, sales of ice cream also tend to be above average: during months when sales of beer are below average, sales of ice cream also tend to be below average. Which of the following can we conclude from these facts? a. The correlation between "beer sales" and "ice cream sales" is negative. b. For a lot of people, drinking beer causes a desire for ice cream, or vice versa. c. There may be a lurking variable (such as temperature) that simultaneously impacts both variables in this study. Correlation doesn't imply causation. d. None of the above. The owner of a chain of supermarkets notices that there was a positive correlation between the sales of beer and the sales of ice cream over the course of the previous year. During seasons when sales of beer were above average, sales of ice cream also tended to be above average. Likewise, during seasons when sales of beer were below average, sales of ice cream also tended to be below average. The owner is curious whether the observed association is due to a cause-and-effect relation between eating ice cream and desiring beer. To investigate this, the owner should use a. the least-squares regression line. b. the correlation coefficient. c. the square of the correlation coefficient.

Explanation / Answer

Ans:32)Option d is correct.

Correlation cofficient tells us the strength and direction of a linear or straight line relation between two variables.

correlation cofficient may be postive or negative,we which indicates the direction of relationship.

33)From the statements, there is positive association/correlation between beer and ice cream sales.

we can conclude that drinking beer causes a desire for ice cream or vice versa.

Drinking beer(cause) is independent variable and desire for ice cream(effect) is dependent variable

Option b is correct.

34)For cause and effect association,we use regressine line.

Cause(Independent variable) and effect(dependent variable)

Option a is correct.

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