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.
Answer: x^2+5x+6
Step-by-step explanation:
Answer:
10
Step-by-step explanation:
The volume of a cube is equal to its (side length)^3
so s^3 = 1000
![s=\sqrt[3]{1000} =10](https://tex.z-dn.net/?f=s%3D%5Csqrt%5B3%5D%7B1000%7D%20%3D10)
Answer:
yes they both are wrong
Step-by-step explanation:
Center of the Circle is (h,I) which is (4,-3)
so h= 4 and k = -3
radius is 4 units (3+1)
Equation for circle
substitute all the values in this equation
