Hi, I would appreciate any help with this question using STATA!

Step 4; loading our data: The dataset that we're using for this problem is one of STATA's inbuilt damsel. Start a new line in your .do file and write the following command: Wanna, then execute it. Now we have put our dataset into STATA and are ready to work with it. For each question below, first write down your commands in the .do file, and then execute them. After executing your commands, read the STATA output and write your answers on paper. a] Use the sum command to create a summary of all the variables. [On paper} How many variables does this dataset contain? b'i Summaries only price, mpg. headroom, trunk. Lu_eilgl_1t_and length. {On paper] Report the mean and standard deviation of each of these variables. :1 Use the reg; command to estimate a linear model that regresses price on mpg. {0n paper'i Write down the linear model that you just estimated and then report the n and 1&1 and their respective standard errors. d'i Estimate a linear model that regresses price on headroom. [On paper) Write down the linear model that you just estimated and then report the ,6} and 31 and their respective standard errors. e] Estimate a linear modelthat regresses price on trunk. (On paper}Write down the linear model that you just estimated and then report the 30 and 1 and their respective standard errors. fl Estimate a linear modelthat regresses price on mpg, headroom and trunk. {On pa per'i Write down the linear model that you just estimated and then report all the at and their respective standard errors. Si hi Using the information that you acquired above, fill in the blanks in the following economics table [don't forget the asterisk and standard errors. for your reference, the critical tvalue for a significance level of 1% is 2.5?5, and the critical tvalue for a significance level of 10% is 1.645]: Vehicle price mg headroom (3350 |Eie"i= Observations