An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
<h3>What is a lurking variable in a study?</h3>
Lurking variable is known to be a kind of a variable that is said not be the explanatory variable nor can it be called the response variable but it is one that is seen to have a relationship (e.g. correlation) with the response and that of the explanatory variable.
Note that A lurking variable is one that can be falsely identify as a strong relationship that exist between variables or it is one that often hide the true relationship.
Hence, An example of a study that has a false correlation caused by a lurking variable is " research scientist examines the influence of diet and exercise on a an individual's blood pressure."
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Answer:
Abstract. Admission rate and length of stay (LOS) are two hospital performance indicators that affect the quality of care, patients' satisfaction, bed turnover, and health cost expenditures. the customer service dashboard reports hospital scores on issues such as meal quality, mortality rate and percentage of transfusions having adverse reactions. FALSEA customer service dashboard provides such scoring information as percentage of patients who would recommend the hospital to others and rating of such items as inpatient parking, courtesy of staff, cleanliness, caring of staff, meal quality, follow-up education and instruction, and pain management, as well as an overall satisfaction. Mortality rate would be reported on the clinical dashboard and percentage of transfusions having adverse reactions.
Explanation:
Answer:
Price we are wiling to pay = $46.429
Explanation:
Hi, this can be calculated using the dividend discount model
Stock price we are willing to pay = D / (r - g) where,
D = Dividend
r = required rate of return of investor
g = growth
So working the formula gives us,
Price = 1.95 / (0.085 - 0.043)
Price = $46.429
This is the price we are willing to pay.
Hope that helps.
