Multiple linear regression research paper

From this output, we can determine that the intercept is -, the coefficient for the unemployment rate is , the coefficient for number of spring high school graduates is , and the coefficient for per capita income is . Therefore, the complete regression equation is Fall Enrollment = - + * Unemployment Rate + * Number of Spring High School Graduates + * Per Capita Income . This equation tells us that the predicted fall enrollment for the University of New Mexico will increase by students for every one percent increase in the unemployment rate, students for every one high school graduate, and students for every one dollar of per capita income. Let’s revisit our research question, this time including a per capita income of $30,000.

Multiple linear regression research paper

multiple linear regression research paper

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multiple linear regression research papermultiple linear regression research papermultiple linear regression research papermultiple linear regression research paper