Please give the codes that generate the answers for question 6.

Posit Cloud x |Posit Cloud x | Posit Cloud * *Course Hero x M eBooks - My Bookshelf X Exercises 7.1 X v G go prod.reader-ui.prod.mheducation.com/epub/sn_b855/data-uuid-933f4f746ba049cba5af5f2f3de4b8f6 E Aa house has ocean views. The estimated house price, measured in $1,000s, is given by y = 118.90 + 0.12x + 52.60d. a. Compute the predicted price of a house with ocean views and square footage of 2,000 and 3,000, respectively. b. Compute the predicted price of a house without ocean views and square footage of 2,000 and 3,000, respectively. c. Discuss the impact of ocean views on the house price. 6. FILE GPA. The director of graduate admissions at a large university is analyzing the relationship between scores on the math portion of the Graduate Record Examination (GRE) and subsequent performance in graduate school, as measured by a student's grade point average (GPA). The accompanying data file shows the GPA and GRE for 24 students. a. Find the sample regression equation for the model: GPA = Bo + B,GRE + E. Answer GPA = 0.4256 + 0.0041GRE b. What is a student's predicted GPA if he/she scored 710 on the math portion of the GRE? Answer 3.35 7. FILE Education. A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). The accompanying data file shows Salary and Education for 20 individuals. a. Find the sample regression equation for the model: Salary = Bo + B,Education + &. b. Interpret the coefficient for Education