Answer:
x=0
Step-by-step explanation:
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:
1.-(-2/15)=2/15
2.-(-13/17)=13/17
Step-by-step explanation:
I think it is 12. If it is not, I’m sorry.