Solve for a.  Show all steps. K=4a+3b{“version”:”1.1″,”math”…

Questions

Sоlve fоr а.  Shоw аll steps. K=4а+3b{"version":"1.1","math":"K=4a+3b"}

[Dаtа Stаtic Hоldоut Methоd] Answer the questions using the "profootballhallofFame.csv". The dependent variable is "HOFm." 1) When using the three methods, enter the AIC of the model with the smallest AIC by each method. Round to 3 decimal places. You may use the following function, round(num,3)(If the number ends with '0', don't enter 0. For example, 1.230 (x) => 1.23 (o)) Forward selection: [value1] Backward elimination: [value2] Stepwise: [value3] Then, answer the following questions using the three linear regression models with the smallest AIC derived from the three methods above. 2) Create a static training set and static validation set using the following conditions. static training set: observation(row)# 1~80 static validation set: observation(row)# 81~153 Then, run the three linear regression models using the static training set,Next, enter the RMSE of each regression model derived by the static training set by using the static validation set. Round to 3 decimal places. RMSE of the linear regression model derived from Forward Selection method [value4] RMSE of the linear regression model derived from Backward Elimination method [value5] RMSE of the linear regression model derived from Stepwise method [value6] 3) Are the linear regression model with the minimum AIC and the model with the minimum RMSE value consistent? If they match, enter 1. If they do not match, enter 0. [value7]