HEALTH HIGH SCHOOL

Doing exercise can change the body and the way it functions.
a. True
b. False

Answers

Answer 1
Answer: True. But this will affect the body in many beneficial ways. Exercise is known to induce a faster rate in the body's metabolism causing the person to lose weight or feel vibrant. Aside from this, many experts suggest that exercising is always a smart move and a highly recommended activity as individuals age. Together with a strict diet, exercise prevents chronic diseases (e.g. heart conditions, asthma) to happen. It actually improves the quality of life in individuals and should be done at least 30 minutes every day for 3 alternating days within the week. 
Answer 2
Answer: Doing exercise can change the body and the way it functions.
TRUE

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Asian cultures believed
illness was cause, by

Answers

Answer:

probably religion.

Explanation:

Culturally, they may have believed that the gods were punishing them  or a supernatural being was involved. this depends on what your book says. there could be different answers as well.

This is a contagious disease caused by bacterial infection. Symptoms include fever, pain, redness, and swelling of the throat and tonsils. This disease is

Answers

Its not Really a disease...but the correct answer is a Sore  throat 

Answer:

b

Explanation:

Dominique has a BMI of 35. What does the BMI indicate about Dominique Select one of the options below as your answer:a. Dominique has little or no risk of weight-related diseases.
b. Dominique has an increased risk of heart disease and diabetes.
c. Dominique has a risk of experiencing malnutrition.

Answers

B. Dominique has an increased risk of heart disease and diabetes. 

If you exercise for an hour, at least half your time should be spent doing cardiovascular exercise.true or false

Answers

true because you have to work on both

Answer:

True!

hope this helped!

Jessica's friend has decided to quit smoking. What should Jessica do to encourage her friend?

Answers

There are a lot of way to encourage Jessica's friend to quit smoking. First, let her friend engage in physical fitness activities and healthy diet. Or engage in nature activities.

Answer:

b. Celebrate smoke-free days with her and give her small gifts for not smoking.

Explanation:

it couldn't be a or c

Which of the following contraceptive methods requires seeing a physician?A.condom
B.female condom
C.spermicidal jelly
D.implant

Answers

The contraceptivemethods that requires seeing a physician is implant. The correct option is D.

What are contraceptive methods?

Contraception, or birth control, is the use of medications, devices, or surgery to prevent pregnancy. There are numerous varieties. Some are reversible, while others are irreversible. Some types can also aid in the prevention of STDs.

They can postpone having children until their bodies are fully capable of supporting a pregnancy.

It can also prevent pregnancy in older people who are at risk of becoming pregnant. By preventing unwanted pregnancies, contraception reduces the need for abortion.

A contraceptive implant is a medicaldevice that is implanted for the purpose of birthcontrol. The implant may rely on the release of hormones at specific times to prevent ovulation or spermdevelopment.

Thus, the correct option is D.

For more details regarding contraception, visit:

brainly.com/question/796108

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Other Questions
A study about lung capacity was conducted. The outcome variable is forced expiratory volume (FEV), which is, essentially, the amount of air an individual can exhale in the first second of a forceful breath. The data recorded include: FEV (liters), Age (years), Height (inches), and Sex. The data are in FEV4.csv. (As with many older studies, this study considered Sex as a binary variable. This thinking has been changing in recent years, and I think the field of statistics has been more progressive in this regard than other STEM fields) (A) What would an Age × Sex interaction mean in this context? (B) Create an appropriate plot to visualize the relationship among FEV, Age, and Sex. Include it here. (C) Based on the plot, does there seem to be an Age × Sex interaction? Briefly explain. (Two or three words will suffice) (D) Obtain the linear regression model relating FEV to Age and Height. Write the regression equation. (E) Estimate the mean FEV for 14-year-old children who are 66 inches tall. Include an interval that characterizes the expected range of FEV values and state an interpretation of this interval with appropriate units. (F) Test H0​:βAge ​=βHeight ​=0 in a model that predicts FEV using all three predictors. Give the statistic and P-value as well as your conclusion. (G) Assess any evidence for confounding of the relationship with FEV among the two quantitative predictor variables (Age and Height). Include the following four correlation coefficients, and summarize the results in plain terms: - Pearson correlation between FEV and Height - Pearson correlation between FEV and Age - Partial correlation between FEV and Height controlling for Age - Partial correlation between FEV and Age controlling for Height - Conclusion: (H) Compute variance inflation factors for the model with all three predictors and state an interpretation of these. You can use the viff ) function in the car R package (I) You are asked to quantify the relationship between FEV and the predictors (Age, Height, Sex) in school-age children. Try to find the "best" model - which set of predictors best explains FEV? Or you might prefer a simpler model, sacrificing predictive power for interpretability. - You should consider interaction terms, and may want to consider polynomial terms and variable transformations as well. One way to approach this: Start with a full model that includes all interaction terms, including the 3-way interaction. If an interaction term does not seem important, you can remove it from the model (unless a higher-order interaction term is important), then run a new regression. Continue this iterative process until you arrive at a model where all terms are meaningful. List the variables (and interactions, and polynomials terms, or transformed variables etc if any) in your final model. Justify why you think this is the best model. (J) Are the regression assumptions/conditions met for your model \& results to be valid? Address them each. You should include some, but not all, relevant R output - pick the ones you find most important or interesting.
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