Answer: C y>3x+1
Step-by-step explanation:
- When we graph an inequality with strictly greater of less than sign ('<' or '>'), then the graph has a dashed boundary line .
- Further it indicates that it does not include the points on the line.
From all the given options , only C contains inequality with '>' sign .
Hence, y>3x+1 is the inequality has a dashed boundary line when graphed.
hence, the correct option is C.
Answer:
-4r
Step-by-step explanation:
r + (-5r)
1r + (-5r)
Factor out an r
r( 1 -5)
One minus 5 is negative 4. If you have one dollar and you borrow five dollars, how much did you borrow? 4 but that 4 is borrowed so it is negative
r (-4)
-4r
Answer:
43
Step-by-step explanation:
because 43 - 69 is f u n k y
I've actually just learned this. We would set up the proportion as X/9=36/X so after we cross multiply we get x^2=324. Then we find the square root of both sides to simplify. And using my calculator the square root of x^2 is just x. And the square root of 324 is 18. So the final answer is x=18 or the geometric mean is 18.
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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