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Andreas93 [3]
3 years ago
7

Based on the data from six students, the regression equation relating number of hours of preparation (x) and test score (y) is .

the same data yield and what is the best predicted test score for a student who spent 10 hours preparing for the test?
Mathematics
2 answers:
Liula [17]3 years ago
8 0

Answer:

The predicted test score for a student who spent 10 hours preparing for the test is 78.

Step-by-step explanation:

The regression equation is used to determine the predicted value of the response or dependent variable based on an explanatory or independent variable.

The general form of a regression equation is:

y=\alpha +\beta x

Here,

<em>y</em> = dependent variable

<em>x</em> = independent variable

<em>α</em> = intercept

<em>β</em> = slope

The regression equation relating number of hours of preparation (<em>x</em>) and test score (<em>y</em>) is:

y=67.3+1.07x

Compute the value of <em>y</em> for <em>x</em> = 10 as follows:

y=67.3+1.07x

  =67.3+(1.07\times 10)\\=67.3+10.7\\=78

Thus, the predicted test score for a student who spent 10 hours preparing for the test is 78.

gizmo_the_mogwai [7]3 years ago
3 0

Answer:

78

Step-by-step explanation:

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