Answer:
It is Potassium and iodine
Individuals suffering from somatoform disorders often see several doctors about their symptoms because doctors often refer their patients for a second opinion
<h3>What is doctors opinion?</h3>
Doctors usually ask people to take different medications to be able to treat the cause and the symptoms of a disease.
For example, they might prescribe antibiotics to treat the infection and anti-inflammatory medication for the swelling and pain.
According to this, the statement that says that doctors often advise a combination of treatments to eradicate an infection and treat symptoms is true.
Hence Individuals suffering from somatoform disorders often see several doctors about their symptoms because doctors often refer their patients for a second opinion
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Answer:
<em>The comoving distance and the proper distance scale</em>
<em></em>
Explanation:
The comoving distance scale removes the effects of the expansion of the universe, which leaves us with a distance that does not change in time due to the expansion of space (since space is constantly expanding). The comoving distance and proper distance are defined to be equal at the present time; therefore, the ratio of proper distance to comoving distance now is 1. The scale factor is sometimes not equal to 1. The distance between masses in the universe may change due to other, local factors like the motion of a galaxy within a cluster. Finally, we note that the expansion of the Universe results in the proper distance changing, but the comoving distance is unchanged by an expanding universe.
Answer:
a) > x<-c(1,2,3,4,5)
> y<-c(1.9,3.5,3.7,5.1,6)
> linearmodel<-lm(y~x)
And the output is given by:
> linearmodel
Call:
lm(formula = y ~ x)
Coefficients:
(Intercept) x
1.10 0.98
b) 
And if we compare this with the general model 
We see that the slope is m= 0.98 and the intercept b = 1.10
Explanation:
Part a
For this case we have the following data:
x: 1,2,3,4,5
y: 1.9,3.5,3.7,5.1, 6
For this case we can use the following R code:
> x<-c(1,2,3,4,5)
> y<-c(1.9,3.5,3.7,5.1,6)
> linearmodel<-lm(y~x)
And the output is given by:
> linearmodel
Call:
lm(formula = y ~ x)
Coefficients:
(Intercept) x
1.10 0.98
Part b
For this case we have the following trend equation given:
And if we compare this with the general model
We see that the slope is m= 0.98 and the intercept b = 1.10
Well the lunar phase IS exactly IS when moon orbits the earth, Relatively the Earth orbiting the sun ......... the moon orbits the earth in the position the earth orbits the sun
