Answer:
... because Edwin Hubble was the man that proved it from his observations. He proved that there is a direct relationship between the speeds of distant galaxies and their distances from Earth. This is now known as Hubble's Law.
Explanation:
It is false that the reduction of carbon dioxide emissions poses few threats to sustaining economic growth in developing countries.
Given that the reduction of carbon dioxide emissions poses few threats to sustaining economic growth in developing countries.
We are required to say whether the statement is true or false.
Economic growth basically defined as the increase or improvement in the inflation-adjusted market value of the goods and services produced by an economy over a certain period of time.
The reduction of carbon dioxide emissions does not poses threats but benefits our country and in result lead to increase in economic growth of the countries.
Hence it is false that the reduction of carbon dioxide emissions poses few threats to sustaining economic growth in developing countries.
Learn more about economic growth at brainly.com/question/1690575
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Answer:
Explanation: The Holy Communion is a practice in Christianity, also recognised as one of the 7 sacraments (First Holy Communion). This is where a child (typically 7-10 years old) has their first Eucharist and confession. This is when they go to the priest and confess their sins, and can then claim the Eucharist, which is when they eat "the body of Christ". The small piece of bread given is known as "the body of Christ", and the wine as Jesus's blood. (....check next answer for the rest)
monicawiszowata avatar
After receiving the first Holy Communion, this is simply a natural procession in church. Priest will say "The Body of Christ", the receiver says "Amen", and eats the bread. Upon eating the bread, they do the sign of the cross. This is done to symbolise that Christ is among the receiver of the Communion.
The formula for Sums of squares of the residuals (SSR) is attached below.
Therefore, option B is correct:
B. I would calculate the difference between the observed outcome (Y) and the predicted value of Y (Y_hat), square each one of these differences, and add them up.
