Answer: the known variable; the to-be-predicted variable
Step-by-step explanation:
In statistics, linear regression is a technique to model the relationship between two variables ( one independent and other dependent).
It requires some previous data to plot a best fit line.
It is used to predict the values for dependent variable for each independent variable.
Here, independent variable = known variable and dependent variable = is to be predicted
Hence, Linear regression describes the extent to which <u>the known variable</u> predicts <u>the to-be-predicted variable</u>.
Answer:
Step-by-step explanation:
X best represents
the width must be x so that the length can be 12+x meaning that the length is greater than length by 12
do u want the difference?