Given:
- Lily bought 20.24 pounds of grapefruit.
- The lightest grapefruit weighed 1.2 pounds.
- The heaviest grapefruit weighed 1.8 pounds.
To Find:
An estimate of the number of grapefruits she bought.
Answer:
The best estimate is that Lily bought 13 grapefruits.
Step-by-step explanation:
Given that the lightest grapefruit weighed 1.2 pounds and the heaviest one weighed 1.8 pounds, we can take the mean or average of these two weights to estimate the weight of any of the grapefruits that she bought.
That is, we can say that each grapefruit must weigh something close to the average value.
The average can be found as
Thus, the average grapefruit from the bundle she bought must weigh around 1.5 pounds.
Now, given that the total weight of the grapefruit she bought is 20.24 pounds.
By the Unitary Method,
Weight of One Grapefruit = Total Weight of All Grapefruits ÷ Number of Grapefruits
So, number of grapefruits she bought = Total weight ÷ weight of one grapefruit
In other words,
number of grapefruit =
Rounding off, we may say that Lily bought 13 grapefruits.
Answer: See my work
Step-by-step explanation:
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.
Hello,
Yes,
imagine 2 rights triangles having the hypotenus in commun.
Answer:
x^2-4x+6
Step-by-step explanation: