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6. The median-median line for a dataset is y=1.133x+0.489

The least-squares regression line for the same dataset is y=1.068x+0.731. Which regression equation better predicts the y-value for the point (50, 60)

A. The median-median line regression line is a better prediction.
B. The least squares regression line is a better prediction.
C. The models predict the same value
D. The models predict different values that are equally inaccurate

(1 point)

Respuesta :

jurkitone13

Answer: The answer is B...........

Answer:

The correct option is A. The median-median line regression line is a better prediction.

Step-by-step explanation:

The given median-median line for a dataset is

[tex]y=1.133x+0.489[/tex]

The least-squares regression line for the same dataset is

[tex]y=1.068x+0.731[/tex]

The given point is (50,60).

Substitute x=50 in each given equation.

[tex]y=1.133(50)+0.489=57.139[/tex]

[tex]y=1.068(50)+0.731=54.131[/tex]

Since the value of median-median line at x=50 is near to 60 than the value of least-squares regression at x=50.

The median-median line regression line is a better prediction. Therefore the correct option is A.

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