Answer:
(0,2.5)
Step-by-step explanation:
The linear regression method seeks to predict values of a(n) dependent variable based on values of a(n) independent variable.
According to the statement
we have to explain the linear regression method and explain the way by which this method is used to predict the values.
So, For this purpose we know that the
Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship.
And
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
from these definitions it is clear that the there is a presence of two types of variables which are dependent and independent variables.
So, The linear regression method seeks to predict values of a(n) dependent variable based on values of a(n) independent variable.
Learn more about Linear regression here brainly.com/question/25987747
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See each answer below.
1) If we subtract 7 from both sides and try to take the square root, we are taking the square root of -7. Therefore, there are no solutions.
2) Dividing by 3 and taking the square root gives an answer of 0.
3) Add 4, multiply by 4 and finally take the square root of each side.You will get positive or negative four.
4) Divide by 4 and then take the square root. You have positive or negative 5/2.
P(all 4 are male) = 1/2^4 = 1/16 ( assuming probability of 1 male = 1/2)
P( 3 are male) = 1/2^4*4 = 1/4
The rest will have at least 2 females
So probability of at least 2 females) = 1 - 1/16 - 1/4 = 1 - 5/16 = 11/16 answer
