The residual plot for a data set is shown.

based on the residual plot, which statement best explains whether the regression line is a good model for the data set and why?

the regression line is a good model because the points in the residual plot are approximately linear.

the regression line is not a good model because only one point in the residual plot is on the x-axis.

the regression line is a good model because there is a pattern in the residuals.

the regression line is not a good model because the residuals are not randomly distributed.

The regression line is not a good model because the residuals are not randomly distributed.

Step-by-step explanation:

In a regression, the residual is the difference between the observed values and the predicted values.  

If the points in a residual plot are randomly dispersed, a linear regression model is appropriate for the data.

In this case, a pattern is present (the plot is similar to a sine plot); this suggest that a non-linear regression would be better.

answer: ay  

fonsi  

dy  

oh

oh no, oh no

oh yeah

diridiri, dirididi daddy  

go

sí, sabes que ya llevo un rato mirándote  

tengo que bailar contigo hoy (dy)  

vi que tu mirada ya estaba llamándome  

muéstrame el camino que yo voy (oh)

tú, tú eres el imán y yo soy el metal  

me voy acercando y voy armando el plan  

solo con pensarlo se acelera el pulso (oh yeah)

ya, ya me está gustando más de lo normal  

todos mis sentidos van pidiendo más  

esto hay que tomarlo sin ningún apuro

despacito  

quiero respirar tu cuello despacito  

deja que te diga cosas al oído  

para que te acuerdes si no estás conmigo

despacito  

quiero desnudarte a besos despacito  

firmo en las paredes de tu laberinto  

y hacer de tu cuerpo todo un manuscrito (sube, sube, sube)

(sube, sube)

pla·gia·rism

/ˈplājəˌrizəm/

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noun

the practice of taking someone else's work or ideas and passing them off as one's own.

step-by-step explanation: