Fitted value is a prediction of the mean response value.
According to the statement
we have to explain the fitted value for the regression model and the data which uses to collect the value.
So, For this purpose, we know that the
A Fitted value is a statistical model's prediction of the mean response value when you input the values of the predictors, factor levels, or components into the model.
An the fitted value used in this model is called the predicted values of response variable in the case of multiple regression model.
And data which is used to create the fitted value is the simple data by which we create the fitted value by the predict the value of given data.
So, Fitted value is a prediction of the mean response value.
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Answer:
1/2 (-sin2x - cos 2x)
Step-by-step explanation:
Distribute 1/2 to every term in the parentheses
Answer:
(x+1)^2+(y+4)^2=16
Step-by-step explanation:
equation of the circle
(x-x0)^2+(y-y0)^2=r^2
where x0 and y0 is center of circle
and r is radius of the circle.
we know that the center point is the middle of the diameter
so x0=(x1+x2)/2
x0=(3+(-5))/2=-2/2=-1
y0=(-4+(-4))/2=-8/2=-4
so the midpoint or the center of circle is the points (-1,-4)
the formula to find the distance between two. points is √[(x2-x1)^2+(y2-y1)^2]
so r is the distance between the center point and one of the diameter endpoints.
let us take points (3,-4) and center point (-1,-4)
√(-1-3)^2+(-4-(-4))^2=
√(-4)^2+0^2=
√16=4
so the radius of the circle is 4
now the equation of the circle will be
(x-(-1))^2+(y-(-4))^2=4^2
(x+1)^2+(y+4)^2=16
