A least squares regression line: a. may be used to predict a value of y if the corresponding x value is given b. implies a cause -effect relationship between x and y c. can only be determined if a good linear relationship exists between x and y d. None of these alternatives is correct.
1 answer:
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
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