Answer:
in the picture above.
Step-by-step explanation:
I hope that it's a clear solution and explanation.
Goodluck.
Answer:
a) May be used to predict a value of y if the corresponding x value is given
Step-by-step explanation:
In regression analysis, the vertical distance from the regression line to the data points can be minimized using the least square regression line.
Given the example of a least square regression equation:
y = ax + b
Where
a = slope
b = Y-intercept
If the value of x is known, the value of y may be predicted.
Option A is correct.
A least squares regression line may be used to predict a value of y if the corresponding x value is given
the answer to the question is 0.5
X + x - 4
2x - 4
the answer to the question
Answer:
4
Step-by-step explanation:
The line must have the same slope as the original in order to be considered parallel, which in this case is 4.