Campus crime rates are generally lower than the national average;however thousands of crimes take place on college campuses daily.Cities that are notoriously dangerous would likely be undesirable locations for a college campus.A study examined the crime rates on campuses throughout the United States and whether or not they were significantly affected by surrounding cities.A regression analysis was performed to investigate which characteristics of a city,along with a few chosen demographics of a school,impacted the crime rate on a college campus.There are over 4000 colleges and universities in the United States.The study included a random sample of 129 institutions.The response variable was the number of crimes per 1000 people.Explanatory variables included the percent of married couples in the city (married),tuition of the university (tuition),average income of the city (income),unemployment rate of the city (unemployment),percent of students who belong to a fraternity or sorority (Greek),average age of the students at the university (age),and number of liquor stores in the city (liquor).A complete analysis of the data is shown below. Examine the Q-Q plot of the residuals.What do you notice?
A)The Q-Q plot indicates some deviations from Normality,which could invalidate the analyses.
B)The residuals appear Normal;therefore,the regression results are accurate.
C)The residuals should be checked using a boxplot instead of a Q-Q plot.Not enough information can be obtained from the Q-Q plot.
D)One cannot obtain any information about the model from the residuals.

Question

Campus crime rates are generally lower than the national average;however thousands of crimes take place on college campuses daily.Cities that are notoriously dangerous would likely be undesirable locations for a college campus.A study examined the crime rates on campuses throughout the United States and whether or not they were significantly affected by surrounding cities.A regression analysis was performed to investigate which characteristics of a city,along with a few chosen demographics of a school,impacted the crime rate on a college campus.There are over 4000 colleges and universities in the United States.The study included a random sample of 129 institutions.The response variable was the number of crimes per 1000 people.Explanatory variables included the percent of married couples in the city (married),tuition of the university (tuition),average income of the city (income),unemployment rate of the city (unemployment),percent of students who belong to a fraternity or sorority (Greek),average age of the students at the university (age),and number of liquor stores in the city (liquor).A complete analysis of the data is shown below.       Examine the Q-Q plot of the residuals.What do you notice?
A)The Q-Q plot indicates some deviations from Normality,which could invalidate the analyses. 
B)The residuals appear Normal;therefore,the regression results are accurate. 
C)The residuals should be checked using a boxplot instead of a Q-Q plot.Not enough information can be obtained from the Q-Q plot. 
D)One cannot obtain any information about the model from the residuals.

Quizplus · Accepted Answer

The Q-Q plot shows some deviations from Normality, indicating that the assumption of Normality for the residuals may be violated. This could potentially invalidate the analyses and suggest the need for further exploration or adjustment of the model.

Campus Crime Rates Are Generally Lower Than the National Average;however