Personal Injury Cases: Cooling Method for Gas Turbines- R Studio Assignment Help

Internal Code: 1GGFH

R Studio Assignment Help:

Task:                       (1) Use R to draw the scatter plot of NewPI vs AdvExp6; Use R to draw scatter plot of NewWC vs AdvExp6; (2) Let y1 =number of new personal injury cases per month (New PI cases) x=6 months cumulative advertising expenditures (in thousands of dollars). Fit a linear model between y1 and x. (3) Does x brings information to predict y1? (4) Interpret the coefficient ?0, ?1. (5) What the value of coefficient of determination? How you interpret this value? (6) Compare b) and c), should the court support the claim of partner A? Why or why not? Question 2 Cooling method for gas turbines. Journal of Engineering for Gas Turbines and Power (January 2005) study of a high- pressure inlet fogging method for a gas turbine engine. Consider a model for heat rate (kilojoules per kilowatt per hour) of a gas turbine as a function of cycle speed (PRM revolutions per minute) and cycle pressure ratio(CPRATIO). The data are saved in the GASTURBINE file. (1) Fit the complete second order model, i.e. regress HEARTRATE to RPM, CPRATIO, RPM_CPR, RPMSQ and CPRSQ. (2) Fit a reduced model that only contains RPM, CPRATIO, and RPM_CPR (3) Conduct Nested F-test to compare the complete model with the reduced model to test if the quadratic terms RPMSQ and CPRSQ are significant or not? (a) State the H0 and Ha (b) Get your test statistic value (c) Find the rejection region of your test at  = 0.1 (d) State the conclusion of the test in the words of the problem.