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Sagot :
Answer:
C) The confidence interval is not biased.
Step-by-step explanation:
When a relationship between two variables is observed the confidence interval should not be biased. If the confidence interval is found to be biased then the observed results will be reliable and accurate. Regression analysis of heart rate and maximal oxygen uptake is analyzed and the correlation will not be equal to zero. This means there will be some correlation between the two variables.
The necessary condition that must be checked is: Option B) The correlation between heart rate and maximal oxygen uptake is not equal to zero
What are explanatory and response variables?
Explanatory variables are also called independent variables and they explain variations in the response variables. They are not dependent on any directly considered variable in the considered situation.
The response variables are also called dependent variables and their values depend on the values of the explanatory variables.
For this case, it is considered that:
- Explanatory variable: Heart rate
- Response variable: Maximal oxygen uptake
It is not specified that regression is linear but specified that there is regression analysis was conducted. Regression is useful only if there is any correlation between two variables.
Thus, the most important condition that must be checked is:
Option B) The correlation between heart rate and maximal oxygen uptake is not equal to zero
(because 0 correlation shows that variables are independent, so no influence of explanatory variable on response variable and they are independently taking up their values compared to each other).
Thus, the necessary condition that must be checked is: Option B) The correlation between heart rate and maximal oxygen uptake is not equal to zero
Learn more about correlation here:
https://brainly.com/question/10725272
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