Problem #$7$: For this problem and Problem #$8$ below you are going to use a personalized databank data set. To create this dataset and import it into R$,$ do the following:$1.$ Your personalized databank data set is here. Click on the preceding link and save the file as a text file. The name of the text file should be of the form MacID$\_$databank.txt$.$ where 'MacID' is your MacID$\mathrm{.}2.$ By following the instructions in the introductory lab, Import the the data into R into an object called databank$23.$ Verify $($using sum command$)$ that the sum of the age column is equal to $2993,$ the sum of the weight column is equal to $11933,$ and the sum of the IQ column is equal to $8841.($a$)$Work through this example on R$.$ When working through this example, you should be using the original databank.RData project that you created in Assignment #$0.$Now, using your personalized databank project sandhg$28\_$databank.RData that you just created above, fit the regression model y $=0+1$x$1+2$x$2$ where x$1=$ weight, x$2=$ age, andy $=$ systolic blood pressure $($systolic$).$ Then enter the values of the least squares estimates of $0,1,$ and $2$ into the answer box, separated by commas.$($b$)$Using your personalized databank project sandhg$28\_$databank.RData that you just created above, find the p$-$value for the test to see if the variable x$6=$ IQ can be added to the model which already contains x$1=$ weight and x$2=$ age. i$.$e$.,$ fit the model y $=0+1$x$1+2$x$2+6$x$6$ and find the p$-$value for testing the hypothesis H$0$:$6=0$ vs H$1$:$60.($c$)$Should x$6=$ IQ be included in the model which already containsx$1=$ weight and x$2=$ age? Use $=0\mathrm{.}1.$