. Statisticians use linear regression to a) Make sure the X and Y scores match b) Predict unknown Y scores from unknown X scores c) Predict known Y scores from known X scores d) Predict unknown Y scores from known X scores

D

Step-by-step explanation:

In this question we are asked to pick the correct option that clearly states what statisticians use linear regression for.

To answer this question, I shall be considering the validity of the options one after the other.

But before that , what is a linear regression model?

A linear regression model employs a linear plot to explain the relationship between a dependent variable and another variable called the independent variable.

Option a is wrong.

A regression model does not say if the dependent and independent variables match

Option B is wrong

A linear regression model cannot be used to predict the value of an unknown dependent variable from the unknown Independent variables. X is the independent here with y the dependent

Option C is wrong

Since Y scores is known, then what are we predicting again?

Option. D is correct

We predict values of the unknown dependent variable y from the known independent variable x

step-by-step explanation:

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step-by-step explanation: