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:
The first statement, the fourth statement, and the fifth statement are true. The others are not.
In vertex form, looking at the first statement, you can see that the vertex is located at (4, -11), NOT (-8, 5)
The (x - 4)^2 binomial gives you the axis of symmetry, which is x = 4, NOT x = 5.