Question

Part 5

Suppose you measure the weights of children along with their ages. You then compute the mean weight for age 3, for age 4, for age 5, etc.

Let y represent the mean weight for a specific age x. You plan to run a correlation and regression analysis of y versus x. Which of the following statements is NOT CORRECT?

Group of answer choices

The correlation of the averaged data s likely much less than the actual correlation between individual weights and age.

You may be led to believe your regression model has more predictive power than it really does.

The actual strength of the relationship between weight and age is not apparent.

The correlation of the averaged data is likely much greater than the actual correlation between individual weights and age.

Part 6

A strong association is observed between owning cars and and having better health. All the following statements are reasonable EXCEPT which one?

Group of answer choices

Further investigation is needed, exploring why this association is present.

A person's income may be a lurking variable.

People who can afford to own more cars may also have access to better health care.

Owning more cars will result in a person having better health

Answer 1

Part 5

The average data usually has lower standard deviation and would provide a higher correlation.

Ans->The correlation of the averaged data is likely much less than the actua correlation between individual weights and age.

Part 6

Strong association between owning cars and having better health.

One can assume that maybe the person has more income and can access better healthcare.

But just owning cars cannot result more heath.

Ans->Owning more cars will result in a person having better health.