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Dmitrij [34]
3 years ago
7

Find the area of each polygon. Write the

Mathematics
1 answer:
zimovet [89]3 years ago
3 0
The answer to this hard equation of Thai hard problem of this impossible thing the answer is 3
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Which conversion requires division
denis23 [38]

Answer:

B , meters is smaller

B , grams is smaller

Step-by-step explanation:

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3 years ago
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1. (9.70 X 106) + (8.3 X 105)<br> 2. (3.67 x 102) – (1.6 X 101)
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1- 1899.7
2- 212.74
You’re welcome !! Can u give a thanks ? :)
5 0
3 years ago
mrs.Ibarra wants to create a right trianglw for a geometry test. She plans to use 15, 36, and 41 as side lengths. Which statemen
-Dominant- [34]
If it is a right triangle, it must fit the pythagorean theorem:

a²+b²=c²

We can plug in the sides to see if it works. Remember, that c is the hypotenuse and must be the longest side:

15²+36²=41²
225+1296=1681
1521≠1681

Therefore, these sides cannot make up a right triangle.
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3 years ago
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Pat’s Pizza Shack offers customers two choices of crust, three choices of sauce, and four choices of toppings shown below. If a
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1/24 (fraction form)

hope this helps

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3 years ago
What is the hypothesis that the ANOVA F-test is used for a multiple regression model Y = ?0 + ?1 X1+ ?2 X2+ ?3 X3 + A. H0: ?1 =
Vanyuwa [196]

Answer:

So the correct option for this case would be C:

H0:\beta_1 =\beta_2 =\beta_3

H1: At least one \beta_i \neq \beta_j , i,j=1,2,3

Step-by-step explanation:

Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".  

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"  

When we conduct an ANOVA test to test the coefficients for the regression, the correct system of hypothesis are:

The hypothesis for this case are:

Null hypothesis: \beta_{1}=\beta_{2}=\beta_{3}

Or on other words we want to check if each variable X1, X2 and X3 NOT have a significant effect on the regression.

Alternative hypothesis: Not all the means are equal \mu_{i}\neq \mu_{j}, i,j=1,2,3

Or on other words we want to check if at least one of the variables( X1, X2 or X3), have a significant effect on the regression.

So the correct option for this case would be C:

H0:\beta_1 =\beta_2 =\beta_3

H1: At least one \beta_i \neq \beta_j , i,j=1,2,3

4 0
3 years ago
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