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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Answer:the function would be y=m+b
Step-by-step explanation:
Answer:
I think is 53 A
Step-by-step explanation:
Answer:
Since k is constant (the same for every point), we can find k when given any point by dividing the y-coordinate by the x-coordinate.
so i assume it could be 162 sorry if i am wrong let me know if it is right or not
