Option A is correct.
For testing, if x is a significant predictor of y in simple linear regression, we need to determine if the <u>slope </u><u>is </u><u>significantly different </u><u>from</u><u> zero</u>.
What is linear regression?
A statistical technique known as linear regression is used to represent the connection between a scalar answer and one or more explanatory factors. When there is just one explanatory variable, simple linear regression is employed; when there are numerous explanatory variables, multiple linear regression is utilized.
Based on the value of another variable, linear regression analysis makes predictions about the value of the first variable. The dependent variable is the one you're trying to forecast. The independent variable is the one you are utilizing to make a prediction about the value of the other variable.
Find more on linear regression: brainly.com/question/25987747
#SPJ4
That would be B) 25% off. Hope this helps!
Answer:
840
Step-by-step explanation:
40+400×2=840
