The study of explanatory or independent differences based on the dependent variable is a simple statistical method. The correlation between two variables is researched in which only the explanatory variable of them would be present, and the further discussion can be defined as follows:
For point (i):
- The log(distances) seem to be optimistic, and their valuation is 0.312, which also means that the cost of a house will rise even as the distance increases.
- In this, the certainly is what everybody expects the better the house from the sewage treatment is from a hygienic viewpoint.
For point (ii):
- In this regard, we cannot use straightforward regression, even as non-biased price estimation might not even be provided.
- The price-distance relationship here is not so much linear.
For point (iii):
- Several factors influence the house's price, the biggest contributor is house length, market nearness or public areas, number of rooms, etc.
- Thus the only influence is not the mere distance from the incinerator. It's one of the factors affecting housing pricing.
- The proximity of markets and places can be connected to the distance from the crematorium.
- However, factors such as house size and the number of stories aren't related to the distance from the incineration plant.
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<span>Sphere Volume = </span><span> 4/3 • <span>π <span>• r³
</span></span></span>1,296 = 4/3 * PI * r^3r^3 = (3/4) 1,296 / PI
r^3 =.75 * 1,296 / PIr^3 =
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309.3972093706
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radius =
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6.7635099107 inches
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</span>
</span>
Sphere Surface Area = <span> 4 • <span>π • r²</span></span>Sphere Surface Area = 4 * PI * 6.7635099107^2
Sphere Surface Area =
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574.8494570603
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square inches