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DiKsa [7]
3 years ago
5

The standard error of the regression:_________

Mathematics
1 answer:
Lynna [10]3 years ago
6 0

Answer:

the answer is

A. Is based on squared deviations from the regression line.

Step-by-step explanation:

since the numerator of standard error if N, squaring the value cannot give negative value. dependent variable are the squared units

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A homeowner plans to remodel her bathroom,- and she’s chosen 1-foot-by-1 foot ceramic tiles for the floor. The bathroom is 8 fee
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8976/12=748 tiles

b.) 4*748=2992 dollars

c.) yes it qualifies

hope this is correct, if not, sorry for the inconvenience...

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What is the domain of, f (x) = -2 (x+5)^2 -3
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The domain of any polynomial is
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Question 1 of 10 Jerry drew AJKL and AMNP so that K = ZN, ZLE ZP, JK = 6, and MN = 18. Are AJKL and AMNP similar? If so, identif
butalik [34]

Answer:

This is the answer I got

Step-by-step explanation:

JK / KL = MN / NP 6 / 4 = 18 / 12

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72 = 72

though the two corresponding sides of the triangles mentioned are proportional (proportionality being 1:3 ) but they need not be similar

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3 years ago
What is the area of a triangle with vertices at (-2, -1), (4, -1), (6,5)?
Rina8888 [55]
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3 years ago
A local grocery store chain has a sushi stand. That sushi stand makes samples for store customers to entice customers to purchas
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Answer: 0.99822

Step-by-step explanation:

Our inter-arrival time follows Poisson distribution with parameter 14 which is in hour so first we have to calculate this in minutes as we have to calculate probability in minutes.

So converting 14 into minutes will give  \frac{14}{60}=0.233

Let X=inter-arrival time between two customers

and here \lambda = 0.233

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Now the Poisson distribution has PDF = \frac{\exp ^{-\lambda }\times \lambda ^{X}}{X!}

So P(X = 0) = \frac{\exp ^{-0.233}\times 0.233^{0}}{0!} = 0.79215

P(X= 1) = \frac{\exp ^{-0.233}\times 0.233^{1}}{1!} = 0.18457

P(X=2) = \frac{\exp ^{-0.233}\times 0.233^{2}}{2!} = 0.02150

Now adding all three probability gives =  0.79215 +0.18457 + 0.02150=0.99822

3 0
3 years ago
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