Answer:
1.125
Step-by-step explanation:
1. Area=2.7*1.5;
2. Area=h*3.6;
3. 2.7*1.5=3.6*h; ⇒ h=2.7*1.5/3.6=1.125 units
Answer:
3
Step-by-step explanation:
since he said he counted 34 legs.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34. you should first remove 2 from 34 that would give you 32. 32 divided by 4 which is the number of legs a single pig has is 8, 8 plus 2 divided by two which is the number of legs a single chicken has is 1 so I plus 8 is 9, but they said he has 10 animals, then you remove 4 again reducing the pig side to 28 and increasing the chicken size to 6. 28 divide by 4 is 7, and 6 divided by 2 is 3, so 3 plus 7 is 10, and ten is the number of animals, so the number of chicken is 3.
Answer:
3
Step-by-step explanation:
Cube root of 27 is 3.
3³ = 27.
Answer:
$660
Step-by-step explanation:
So first we convert the percentage (12%) into decimal point: 12%/100+0.12
To find the discount you're going to get, multiply the price of the computer by your new decimal value: 750×0.12= $90
$90 will be the discount you're getting. Now subtract it from the computer price to get the discounted price: 750-90= $660
The discounted price of the computer would be $660
Answer:
(A)Simple First Order Model with Two Predictor Variables.
Step-by-step explanation:
A multiple linear regression model with k predictor variables X₁, X₂, ..., Xₖ and a response Y, can be written as:
y = βₒ + β₁x₁ + β₂x₂ + ··· βₖxₖ + ∈.
Where:
x₁ , x₂,...xₖ are the predictor variables.
βₒ ,β₁, β₂ ··· βₖ are the Regression Coefficients.
and ∈ are the residual terms of the model
Multiple regression models describe how a single response variable y depends linearly on a number of predictor variables x.
The model:
y = βₒ + β₁x₁ + β₂x₂ + ∈ has two predictor variables. It is also of first order since there is no quadratic term, therefore it is a Simple First Order Model with Two Predictor Variables.
