Run a bivariate regression of median house value (medv, in thousands of $) on lower Socio-Economic Status (lstat, percent of population). The effect of a 1 percentage point increase in low SES on median house value is $__________ k.

Use coeftest(), which gets loaded with the AER package, with the argument vcov. = vcovHC to obtain robust standard errors. The ratio of the robust standard error on the slope of this bivariate model to the homoskedastic form of its standard error (ie dividing the robust standard error by the non-robust standard error) is _________.

Looking at a scatter plot of the median house value vs SES, it appears that there might be a non-linear relationship between the two variables. When you run a bivariate regression of median house value on log(SES), R^2 increases over your unlogged bivariate regression by ______.

Use the formula medv ~ poly(lstat,2) to fit a quadratic, medv ~ poly(lstat,3) to fit a cubic and so on. You can graph it in ggplot using geom_smooth and the arguments method=lm and that same formula string. What's the highest order polynomial before the fitted curve is non-monotonic within the range of the data?

Using the formula = medv ~ . will run a kitchen sink regression because R interprets that . to mean every other variable in the data set (although it does not include transformations, polynomial expansions, or interactions). The p-value of the least significant regressor for that kitchen sink specification is _______.

(20 pts) (4) Use optimization methods to optimize the following (you must justify your optimization) codes: while (x > 0) do Nexty-W- 2: IPy'WIS: b- for j := 1 to 50 do bu + 5]:-j +5 .3; c- if(y > 1 ) && (x>0) & & (z > 0) then w:=5; d- for (m = 9; m > 0; m -=) X [m] = 0; X [m] = X [m] + 2*16*y; for () = 9; j > 0; j - -) Z = ZU] + X[i] + 4*8*y;PART V Local Optimization (15 points) Perform local optimization on the following basic block. Assume the registers ti (i=1,...,8) are not used outside of this basic block. Show in each step the kind of optimization (e.g., algebraic simplification) and the outcome of this optimization. Apply as many iterations of local optimization as you can. tl = a -4 12=i * 4 13 = tl [t2] 14 =a-4 15 =i * 4 t6 = 14[15] 17 = 13 * t6 18 = sum + 17 sum = 18 i=i+1 1. Kind of optimization: Resulting code: 2. Kind of optimization: Resulting code: 3. Kind of optimization: Resulting code:Question I. Solve the following problem using the II-Phase Method Maximize z= 3x1 + 9x2 x1 + 4x2 = 8 X1 + 2x2 >>= 5 x1, x2 >= 0MCQ # Answer Justification: 1) FALSE Transactions are entered in the journals in chronological order first and then posted to respective ledgers. Trial Balance will be prepared after balancing the ledgers. Therefore, given statement is FALSE. 2) FALSE If journal entry is posted twice, it will have no effect on trial balance because both debit and credit side of the trial balance will reflect inflated figure. As a result, this error will not be found when the trial balance is produced. Therefore, given statement is FALSE. 3) FALSE Chart of accounts refers to list of account titles (ledger names) used/usable while recording journal entries in firm's books of accounts. It can be arranged in any order which is comfortable to the users of accounts, may be based on their liquidity or numerical values assigned in computer system or based on alphabetical order, etc. So, given statement is FALSE.Free response 1. Using a k-map, design a minimum gate, minimum stage optimized circuit for the following schematic below. Show the optimized Boolean expression, and draw the optimized circuit. A B F E