You would have to insert the number into the variable. For example,
Then, you would isolate the x value (3x).
Simplify.
Finally, divide both sides by the coefficient.
You end up with
By selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
<h3>What does R² value tells you?</h3>
R² value provides an estimate of the relationship between the motion of the dependent variable, which depends on the movement of the independent variable in the equation.
The linear regression equation can be given as,
Here, Y is dependent variable and X is independent variable. Using the regression equation, it is see that how much Y value changes when we change the value of X.
Variation is the distribution of the value of Y, which is little for the different xi possible.
Thus, by selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
Learn more about the regression here;
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Answer:
<h2>3x³ + 5</h2>
Step-by-step explanation:
( 4x - 2x³ ) + ( 5x³ - 4x + 5)
<u>Remove the parenthesis</u>
That's
4x - 2x³ + 5x³ - 4x + 5
<u>Group like terms</u>
We have
5x³ - 2x³ + 4x - 4x + 5
We have the final answer as
<h3>3x³ + 5</h3>
Hope this helps you
Answer:
6
Step-by-step explanation:
First I found the slope, and then I plugged a point into the equation as X and Y, and got the Y-int