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Romashka [77]
3 years ago
14

"you have estimated a linear regression model relating y to x. your professor​ says, "i think that the relationship between y an

d x is​ nonlinear." how would you test the adequacy of your linear​ regression?"
Mathematics
1 answer:
Artemon [7]3 years ago
3 0
You can construct a residual plot, plotting the x values against the values of the residuals; if there is a non-linear pattern in the residual plot then it would not be suitable to use linear regression, whilst if there is no noticeable pattern (ie. the points are randomly scattered) then the relationship is linear and a line of best fit could be appropriate.
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borishaifa [10]
It can not be simplified because the numerator and denominator can not be divided between the same number, so that each results an integer number.
5 0
4 years ago
QUICK!!! HELP PLEASE!!!!
kvv77 [185]

Answer:

0 —> 15

1 —> 13.75

2 —> 12.5

3 —> 11.25

Step-by-step explanation:

Every time she drives for 1 hour, the car uses up 1.25 gallons of gas. If she fills it up and doesn't drive anywhere, the car will still be full with 15 gallons. If she drives for an hour, you would need to subtract 1.25 from 15 which would equal 13.75.

Then if she drives another hour, then you would subtract another 1.25 from 13.75.

Or a quicker way to do it would be if you multiply the number of hours driven by the gallons used per hour then subtract it from the filled up tank.... So for example if she drove 3 hours —> 3•1.25=3.75 then 15-3.75=11.25

8 0
3 years ago
Read 2 more answers
Which is equivalent to 256 3/4 ?<br><br> A 3 <br> B 6<br> C 36 <br> D 72
Black_prince [1.1K]
I do not really understand the question clarify is it 256 times 3/4 if that is the question none of the above is right.<span />
5 0
4 years ago
A survey questioned 4,000 community members about how a certain parcel of land should be used (for
Anuta_ua [19.1K]

Using it's concept, it is found that the sample proportion for this population is of 0.4.

  • The estimate of the <em>sample proportion for a population</em> is given by the <u>number of desired outcomes divided by the size of the sample</u>.

In this problem:

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Hence:

p = \frac{1599}{4000} = 0.4

The sample proportion for this population is of 0.4.

A similar problem is given at brainly.com/question/14510808

4 0
2 years ago
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Answer:

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Step-by-step explanation:

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7 0
3 years ago
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