Rob found that the coefficient of determination between the length of essays submitted to a teacher x and the score the teacher gave the essay y was about 0.661. what can we conclude?

The coefficient of determination is used to measure how well a model fits the real data, or how well it can replicate them. The closer to 1 the value of R ^ 2 the more accurate the model is.

In this case, that R ^ 2 = 0.661 means that the model fits moderately to the variable to be studied.

For a linear regression model, the coefficient of determination is the square of the correlation coefficient r of Pearson. So:

r = 0.813

This value of r close to 1 means that the length of the essays sent to a teacher (x) and the score that the teacher gave to the essay (and) are highly related.

for any of you who need the translation here it is

step-by-step explanation:

find the angular size of the equatorial radius of the earth, if the horizontal parallax of the sun

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7

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14

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step-by-step explanation: