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sp2606 [1]
3 years ago
15

g Explain the difference between explanatory and response variables. Is it important to distinguish between the two in linear re

gression
Mathematics
1 answer:
sukhopar [10]3 years ago
4 0

Answer: See explanation

Step-by-step explanation:

The response variable is the variable that the researcher is interested in. It is what the experiment really focuses on.

An explanatory variable is the variable that is being manipulated by the researcher and it explains the variations that may occur to the response variable.

It should also be noted that it is important to distinguish between the response variable and the explanatory variable in a linear regression.

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I don't really know on this one. I'm thinking it's because if T kept going it would go into a 3rd quadrant but I'm not too sure.
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3 years ago
The value of good wine increases with age. Thus, if you are a wine dealer, you have the problem of deciding whether to sell your
Katyanochek1 [597]

Answer: 64 years

Step-by-step explanation:

Let assume the dealer sold the bottle now for $P, then invested that money at 5% interest. The return would be:

R1 = P(1.05)^t,

This means that after t years, the dealer would have the total amount of:

$P×1.05^t.

If the dealer prefer to wait for t years from now to sell the bottle of wine, then he will get the return of:

R2 = $P(1 + 20).

The value of t which will make both returns equal, will be;

R1 = R2.

P×1.05^t = P(1+20)

P will cancel out

1.05^t = 21

Log both sides

Log1.05^t = Log21

tLog1.05 = Log21

t = Log21/Log1.05

t = 64 years

The best time to sell the wine is therefore 64years from now.

7 0
3 years ago
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Inessa05 [86]
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3 years ago
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The points in the table lie on a line. Find the slope of the line.<br><br><br><br> slope:
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Answer:

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3 years ago
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Answer:

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