Answer:
B) The sum of the squared residuals
Step-by-step explanation:
Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).
Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.
Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.
Therefore, option B gives the correct answer.
Answer:
2/6 - simplified fraction=1/3
Step-by-step explanation:
Answer:
Step-by-step explanation:
What you do is try to find l by using the given information.
We can start by saying that
A=L*W
Now it's easy algebra
Divide both sides by W
L=A/W
Area and length are given .
A=((m^3-3m+2)/2m^2-7m+3)/(m^3+m-2)/(2m^3+3m-2)
Try to work it out if you can't then tell me in the comments we'll figure it out.
Answer:
yes it cant be siplified anymore
Step-by-step explanation:
Answer:
Step-by-step explanation:
Area of the sector is modeled by the expression = 
Here, θ = central angle subtended by the arc
r = Radius of the circle
Area of the red sector = 
= 937.311
≈ 937.31 m²
Therefore, area of the red sector is 937.31 m².
