Researchers wanted to determine if there was an association between the level of satisfaction of an individual and their risk of diabetes. the researchers studied 1621 people over the course of 5 years. during this 5-year period, they interviewed the individuals and asked questions about their daily lives and the hassles they face. in addition, hypothetical scenarios were presented to determine how each individual would handle the situation. these interviews were videotaped and studied to assess the emotions of the individuals. the researchers also determined which individuals in the study experienced any type of diabetes over the 5-year period. after their analysis, the researchers concluded that the satisfied individuals were less likely to experience diabetes.
complete parts (a) through (c).
(a) what type of observational study was this? explain.
(b) what is the response variable? what is the explanatory variable?
(c) in the report, the researchers stated that "the research team also hasn't ruled out that a common factor like genetics could be causing both the emotions and the lung cancer."
explain what this sentence means. choose the correct answer below.

a. the researchers may be concerned with confounding that occurs when the effects of two or more explanatory variables are not separated or when there are some explanatory variables that were not considered in a study, but that affect the value of the response variable
b. the researchers thought that genetics had greater influence than level of happiness.
c. it is not important to adjust for explanatory variables.

Step-by-step explanation:

Hello!

To see if there is an association between the variables:

"Level of satisfaction of an individual"

"Risk of diabetes of an individual"

The researchers studied 1621 people over 5 years.

Observations recorded:

Interviews of daily lives and hassles and hypothetical situations that were studied to assess their emotions.

Determination, if in the course of these 5 years the individuals experienced any type of diabetes.

Conclusion "Satisfied individuals are less likely to have diabetes"

a) This is a prospective cohort study.

In this type of study, a group of individuals that share the same characteristics is observed over some time, recording the events of interest.

b) Considering that the experiment concluded that "satisfaction" reduces the "risk of diabetes", we can determine that the response variable is "Risk of diabetes of an individual" and the explanatory variable is "Level of satisfaction of an individual".

Remember, the explanatory variable is the one considered to have a direct effect over the response variable.

c) "the research team also hasn't ruled out that a common factor like genetics could be causing both the emotions and the lung cancer."

There is a new variable that may affect the experiment. Be "genetic factor" the new variable and it affects directly "emotions and lung cancer", we can say that if some of those individuals are genetically predisposed to have lung cancer, this affects their emotions (satisfaction) and therefore, modifying their risk of having diabetes.

If this is so, then the genetic factor could be a lurking variable affecting directly the result of the observational experiment. Then the correct answer is:

A. The researchers may be concerned with confounding that occurs when the effects of two or more explanatory variables are not separated or when some explanatory variables were not considered in a study, but that affects the value of the response variable.

I hope it helps!

1. 8

2. 9

3. 20

4. 3

5. 17

6. 2.2

7. 11.25

8. 1

9. 14

10. 2

step-by-step explanation:

thats the first half

42%

step-by-step explanation:

we know,

total people = 60

total males = 25

percentage of males

= 25/60 × 100

= 25/6 × 10

= 25/3 × 5

= 125 / 3

= 41.

rounding of = 42%

happy to

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