Agroup of high-technology companies agreed to share employee salary information in an effort to
establish salary ranges for technical positions in research and development. Data obtained for
each employee included current salary (Solory), an indicator variable indicating highest academic
degree obtained [Degree - 0 for an employee with a master degree and Degree - 1 for an
employee with a PhD. degree), and years of experience since last degree (Vears). The data are
provided in an Excel file A multiple regression model is suggested as follows: Salary =0+1 Degree
+2Y ears +3 Degree - Years + Run the above regression model and answer the following
questions: 1. Find the proportion of variation in Salary explained by the regression model. 2. Find
the P.ubue of the interaction between Deevee and Years. 3. Hoye imuch increase in Salary hi
expected per each additional year of eexperience for an emplowe with a maver degset 4. How
mach increase in Salary is expected per each additional year of ewperience for an enpioyer with a
Ph.D. dewee? 5. Find the deferense between the starting calary of an emeloyee wath a PhD
degee and that of an enpiopee with a master degree. 6. Predct the average salary of an erelovee
with o Pho degree and 5 yean ot. experience, 7. Find the margin of eror associated with a 95%
predition intervat for the salary of an einplayee with a PT 0 degee and five yeirs of experience the
an appreximate formula..
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
Agroup of hightechnology companies agreed to share employee.pdf
1. Agroup of high-technology companies agreed to share employee salary information in an effort to
establish salary ranges for technical positions in research and development. Data obtained for
each employee included current salary (Solory), an indicator variable indicating highest academic
degree obtained [Degree - 0 for an employee with a master degree and Degree - 1 for an
employee with a PhD. degree), and years of experience since last degree (Vears). The data are
provided in an Excel file A multiple regression model is suggested as follows: Salary =0+1 Degree
+2Y ears +3 Degree - Years + Run the above regression model and answer the following
questions: 1. Find the proportion of variation in Salary explained by the regression model. 2. Find
the P.ubue of the interaction between Deevee and Years. 3. Hoye imuch increase in Salary hi
expected per each additional year of eexperience for an emplowe with a maver degset 4. How
mach increase in Salary is expected per each additional year of ewperience for an enpioyer with a
Ph.D. dewee? 5. Find the deferense between the starting calary of an emeloyee wath a PhD
degee and that of an enpiopee with a master degree. 6. Predct the average salary of an erelovee
with o Pho degree and 5 yean ot. experience, 7. Find the margin of eror associated with a 95%
predition intervat for the salary of an einplayee with a PT 0 degee and five yeirs of experience the
an appreximate formula.
