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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Answer: 9 = 6t
how many t's are there in the model? there are 6 ts. 6t makes 9, so 9 is equal to 6t.
ps. the equation could also be 6t = 9 but its basically the same thing (:
D height of the plant increases by 4 mm dor every hour of
Base:
12*12= 144 cm^2
Triangle sides:
12*8/2= 48 cm^2 each
Multiply by 4 because there are four of them
48*4= 192 cm^2
Add the base
192+144=336 cm^2
Final answer: 336 cm^2
The answer is the sum of three times a number and six, divided by the difference of seven times a number and nine.
The phrase is(3p+6)/(7p-9)
Let’s describe each factor:
3p is three times a number
7p is seven times a number
3p+6 is the sum of three times a number and six
7p-9 is the difference of seven times the number and nine
The last two factors are divided, so
(3p+6)/(7p-9) is the sum of three times a number and six, divided by the difference of seven times the number and nine.
I hope this helped and have a nice day!
