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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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3 years ago
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Answer:

Number 5 is D

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MATH!<br><br><br> -4=2x+16<br><br> x=____?
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On the first day of spring, an entire field of flowering trees blossoms. The population of locusts consuming these flowers rapid
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Answer:

L(t)=7600e^{0.2273t}

Step-by-step explanation:

-The locust population grows by a factor and can therefore be modeled by an exponential function of the form:

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P=P_oe^{rt},\ \ \ P=L(t)\\\\\therefore L(t)=7600e^{5\frac{t}{22}}\\\\=7600e^{0.2273t}

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Sherry earns an hourly wage plus a bonus for each day’s work. She uses the equation 10.5h + 50 to represent the total amount she
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