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Aleks04 [339]
3 years ago
6

PLSSSSS HURRY Brainliset involed

Mathematics
1 answer:
ExtremeBDS [4]3 years ago
4 0

Answer:

24.36m²

Step-by-step explanation:

area = ½×(8.9+2.7)×4.2= ½×48.72=24.36m²

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Which of the following regression models is used to model a nonlinear relationship between the independent and dependent variabl
snow_tiger [21]

Answer:

Option C) Quadratic regression model

Step-by-step explanation:

Quadratic regression model

  • It is regression model in which states a non-linear relationship between the independent and dependent variables.
  • It includes the dependent variable and the square of the independent variable.
  • \hat{y}= b_0 + b_1x + b_2x^2

where x is the independent variable and \hat{y} is the dependent variable.

  • It is also referred to as second-order polynomial model.
  • It is used when the data shape resembles to a parabola.

Thus, the correct answer is

Option C) Quadratic regression model

6 0
3 years ago
Read 2 more answers
Please help me!!!!! I don’t know how to do this.
vagabundo [1.1K]

Answer: well 88% of $1950 would be 1716 so 1950 minus 1716 would be 234 so he owes $234

6 0
3 years ago
Someone please help me with this problem
Sphinxa [80]
SA of cube =6s²=6(9²)=486
lateral area of cylinder (area of height around tube; also don't need to include area of circle as it is part of the cubes SA)= 2(3.14)rh=6.28(3)(4)= 75.36

add together 561.36<span />
5 0
4 years ago
A newborn baby's weight increased by 50% in one month. If the baby weighed 8 pounds at birth, how much did it weigh one month la
fomenos
It would weigh 12 lbs because 50% of 8 is 4 and 4 + 8 = 12 lbs.
7 0
4 years ago
Read 2 more answers
The proportion of junior executives leaving large manufacturing companies within three years is to be estimated within 3 percent
Leona [35]

Answer: 709

Step-by-step explanation:

The formulas we use to find the required sample size :-

1. n=(\dfrac{z^*\cdot \sigma}{E})^2

, where \sigma = population standard deviation,

E = Margin of error .

z* = Critical value

2. n=p(1-p)(\dfrac{z^*}{E})^2 , where p= prior estimate of population proportion.

3. If prior estimate of population proportion is unavailable , then we take p= 0.5 and the formula becomes

n=0.25(\dfrac{z^*}{E})^2

Given : Margin of error : E= 3% =0.03

Critical value for 95% confidence interval = z*= 1.96

A study conducted several years ago revealed that the percent of junior executives leaving within three years was 21%.

i.e. p=0.21

Then by formula 2., the required sample size will be :

n=0.21(1-0.21)(\dfrac{1.96}{0.03})^2

n=0.21(0.79)(65.3333)^2

n=(0.1659)(4268.44008889)\\\\ n=708.134933333\approx709 [Round to the next integer.]

Hence, the required sample size of junior executives should be studied = 709

4 0
4 years ago
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