1. -4+5x^3-(-3y)^0
-1+-3=-4
3x^2+ 2x^1= 5x^3
9y^1-6y^1=14y^0
2. 2y-(-3x^5)+10
5y-3y=2y
-3x^1+-2x^2=-5x^3
-5x^3+2x^2=-3x^5
3. 3x+3y+8
4x^2+2x=6x^3
6x^3-3x^2=3x
7y-2y=4y
4y-y=3y
-5+(-3)=8
4. 6x^3+4y+2
3x^2+3x^1=6x^3
7y-2y=5y
5y-y=4y
I hope this helped
Answer:
60
Step-by-step explanation:
12*5=60
12 inches in a foot, you have 5 feet so 12*5=60
Answer:
The second box plot best represents the data
Answer:
d) Squared differences between actual and predicted Y values.
Step-by-step explanation:
Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.
For example,
suppose a = 10 and b = 7. If X is 10, then predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.
It minimize the squared difference between actual and predicted value.
