Answer:
a) May be used to predict a value of y if the corresponding x value is given
Step-by-step explanation:
In regression analysis, the vertical distance from the regression line to the data points can be minimized using the least square regression line.
Given the example of a least square regression equation:
y = ax + b
Where
a = slope
b = Y-intercept
If the value of x is known, the value of y may be predicted.
Option A is correct.
A least squares regression line may be used to predict a value of y if the corresponding x value is given
It's 22 because you have to set up 93.5 miles over 4.25 gal. Equal it to X over 1 gallon and you get 22.
Answer:
D
Step-by-step explanation:
add everything up devide by 3
I thank its A if not I’m sorry