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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Yes. in math you will get to a point where you will have to use ratios to do rates they kind of the same thing.
The simplify answer is 550.
The sample space would be 6 . this is because when you roll the dice there are 6 different outcomes
B.) 10:18 and 25:45
You can simplify this.
Divide the first part by 2.
5:9.
Divide the second half by 5.
5:9.
5:9 and 5:9
