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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That relaton i a function
The answer is 67 because you cross multiply 4/100 with x/1675 (:
The growth factor for the mass of bacteria is 2.8 in 1 week.
Step-by-step explanation:
Step 1:
It is given that the bacteria in the culture increase by 260% per week. Now we assign values to get a better understanding. If there were 1,000 bacteria in the culture at the start of the week there would be 1,000 + 260% at the week's end = 1,000 + 2,600 = 3,600 at the week's end.
Step 2:
To calculate the growth factor, we calculate the difference between the present value and the past value and divide it by the past value.
Here the past value is 1,000 and the present value is 2,600.
Growth factor = 
So the growth factor is 2.6 per week.
