Answer:
the x would equal to 11 ,so x=11
The section of the CPT coding manual is the code 40490 is listed in is "digestive system."
<h3>What is CPT codes?</h3>
CPT is the language used by providers and payers when billing medical procedures and services for reimbursement.
Some key features regarding the CPT codes are-
- CPT or Current Procedural Terminology, is a set of medical codes used to describe the procedures and services performed by physicians, allied health care professionals, provided by trained practitioners, healthcare facilities, outpatient facilities, and laboratories.
- CPT codes, in particular, are used to notify services and procedures to both federal and private payers for repayment of rendered healthcare services.
- CPT codes were developed by the American Medical Association (AMA) in 1966 to standardize reporting of medical, surgery, and diagnosis and treatment procedures and services performed in both inpatient and outpatient settings.
- Each CPT system defines a written description of a process or service, removing the need for the patient's subjective interpretation of what was provided.
To know more about the CPT codes, here
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Answer: He sold 10 pounds of cashews .
Step-by-step explanation:
Since we have given that
Selling price of walnuts = $4.00 a pound
Selling price of cashews = $7.00 a pound
Number of pounds of walnuts = 10
Let number of pounds of cashew be x
Total price at which he sold a mixture = $5.50
According to question,
Hence, he sold 10 pounds of cashews .
Answer:
-0.111c + 1 = 0.889c = c=1
Subtract 0.889c from both sides:
−0.111c+1−0.889c=0.889c−0.889c
−c+1=0
Subtract 1 from both sides.:
−c+1−1=0−1
−c=−1
Divide both sides by -1.:
-c/1 = -1/-1
Therefore, your answer is c=1
Answer:
Kindly check explanation
Step-by-step explanation:
Given the data:
Practice throws(X) : 4 10 6 15 0 7 11
Free throws(Y) : 8 23 9 34 5 11 27
Using the online linear regression calculator :
ŷ = 2.1559X + 0.3912
2.1559 = slope
0.3912 = intercept
X = independent variable ; y = dependent variable
The Coefficient of determination (R²) = 0.9506² = 0.9036
Quadratic model : y = 0.0961x²+0.7138x+3.8031
Coefficient of determination(R²) = 0.9739² = 0.9485
Exponential model:
a*b^x
Coefficient of determination (R²) = 0.9753² = 0.9512
The exponential model fits the data best.
