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An educator is interested in the relationship between how many hours students spend doing homework and the scores earned on exams. He gathers data from 12 students and calculates the least-squares regression line to be ŷ = 68.4 + 1.46x, where ŷ is the score on an exam and x is the number of hours spent doing homework. The residual plot is shown.


Based on the residual plot, is the linear model appropriate?

No, the residuals are relatively large.
No, there is a clear pattern in the residual plot.
Yes, there is no clear pattern in the residual plot.
Yes, about half of the residuals are positive and half are negative

An educator is interested in the relationship between how many hours students spend doing homework and the scores earned on exams He gathers data from 12 studen class=

Respuesta :

Based on the residual plot, the linear model is not appropriate because  the residuals are relatively large.

What is a residual plot?

A residual plot is a graph that shows the residual values on the y-axis and fitted values on the x-axis. The aim of a residual plot is to check if the residual are consistent with random error.  When the residuals center on zero, it means that the model’s predictions are correct on average. If this is not the case, the model's predictions are not correct.

To learn more about residual plots, please check: https://brainly.com/question/3297603

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