Question

If the correlation between body weight and annual income were high and positive, we could conclude that: a) low incomes cause people to eat more food. b) high-income people tend to spend a greater proportion of their income on food than low-income people. c) high incomes cause people to gain weight. d) high incomes cause people to eat more food. e) high-income people tend to be heavier than low-income people.

Answer 1

Answer:

e) high-income people tend to be heavier than low-income people.

Explanation:

Correlation is a statistical relationship that shows whether casual or not, how strongly pairs of random variables are related.

If the correlation between body weight and annual income were high and positive, it then means that high-income people tend to be heavier than low-income people.

Answer 2

Answer: we could conclude that high income people tend to be heavier than low income people. Therefore the correct option is E.

Explanation:

Correlation can be defined as the measure of degree or strength of the relationship between two variables or more. A correlation may be positive or negative.

- NEGATIVE CORRELATION: This is when two related variables change in opposite directions, that is, when one increases the other decreases.

- POSITIVE CORRELATION: We have a positive or direct correlation if two related variables change in the same direction, that is, the tend to increase or decrease together. From the question above, the two variables given are BODY WEIGHT and ANNUAL INCOME and were said to have a positive correlation. Therefore we could conclude that high income people tend to be heavier than low income people. I hope this helps, thanks!