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28 January, 18:17

In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation of the least-squares regression line was:

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  1. 28 January, 18:31
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    d. 95.5

    Explanation:

    Based on the information provided within the question it can be said that if in this scenario Carla scored a 95 on the first test and the variable "x" in the equation represents the first test, then we can plug in the 95 and solve for y. Therefore,

    y = 10 + (0.9*x)

    y = 10 + (0.9*95)

    y = 10+85.5

    y = 95.5

    So we can see that the predicted final test score is that of 95.5
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