/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q2 Causation A study has shown that... [FREE SOLUTION] | 91影视

91影视

Causation A study has shown that there is a correlation between body weight and blood pressure. Higher body weights are associated with higher blood pressure levels. Can we conclude that gaining weight is a cause of increased blood pressure?

Short Answer

Expert verified

No, it cannot be inferred that the gain in weight causes an increase in blood pressure.

Step by step solution

01

Given information

It is given that there is a correlation between two variables; body weights and blood. Higher body weights are associated with higher blood pressure levels.

02

Relationship between correlation and causality

It is a general idea that if two variables are correlated, one may not cause the other to occur. It is established on the idea of lurking variables that may affect the relationship.

03

Explain the result

It is given that if weight increases, the blood pressure level also increases.

Therefore, there is a positive correlation between body weight and blood pressure.

However, this does not necessarily mean that an increase in blood pressure is caused due to an increase in weight.

The increase in blood pressure may be due to other factors such as genetics, excessive smoking, and alcohol consumption or age. These are potential lurking variables of the study.

Therefore, a correlation between body weight and blood pressure does not necessarily imply that one causes the other.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

P-Values In Exercises 13鈥16, write a statement that interprets the P-value and includes a conclusion about linear correlation.

Using the data from Exercise 8 鈥淗eights of Fathers and Sons,鈥 the P-value is 0.963.

In Exercises 1鈥6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Stemplot Use the total game playing times to create a stemplot. What does the stemplot reveal about the distribution of the data?

Frequency Polygon. In Exercises 15 and 16, construct the frequency polygons.

Tornadoes Use the frequency distribution from Exercise 12 in Section 2-1 on page 49 to construct a frequency polygon. Does the graph suggest that the distribution is skewed? If so, how?

Cookies Refer to the accompanying frequency distribution that summarizes the numbers of chocolate chips found in each cookie in a sample of Chips Ahoy regular chocolate chip cookies (from Data Set 28 鈥淐hocolate Chip Cookies鈥 in Appendix B). What is the class width? Is it possible to identify the original data values?

Chocolate Chips

Frequency

18-20

6

21-23

11

24-26

18

27-29

4

30-31

1

Relative Frequencies for Comparisons. In Exercises 19 and 20, construct the relative frequency distributions and answer the given questions.

Oscar Winners Construct one table (similar to Table 2-9 on page 47) that includes relative frequencies based on the frequency distributions from Exercises 5 and 6, and then compare the ages of Oscar-winning actresses and actors. Are there notable differences?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.