APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
The equation of the least squares regression line is y (hat) = 1.3 + 0.73x. What is the residual for the point (4, 7)?
|
|
2.78
|
|
|
3.00
|
|
|
4.00
|
|
|
4.22
|
Explanation:
Detailed explanation-1: -Definition. ˉx is the mean of all the x-values, ˉy is the mean of all the y-values, and n is the number of pairs in the data set. The equation ˆy=ˆ1x+ˆ0 specifying the least squares regression line is called the least squares regression equationThe equation ˆy=ˆ1x+ˆ0 of the least squares regression line..
Detailed explanation-2: -In linear regression, a residual is the difference between the actual value and the value predicted by the model (y-ŷ) for any given point. A least-squares regression model minimizes the sum of the squared residuals.
There is 1 question to complete.