Dunkirk consulting wishes to predict the amount of overhead expense that will be incurred by a consulting contract, to develop more accurate bids for future contracts. dunkirk has the following data on 11 completed contracts, detailing how long the project took to complete and what the exact overhead expense was: project code name project duration (days overhead expense a11 240 $29,579 a12 97 $11,871 a14 255 $34,254 a18 206 $31,928 a22 189 $21,729 b2 222 $123,822 b33 227 $117,475 b23 259 $135,083 b10 298 $150,142 b14 218 $111,374 b7 268 $141,700 using linear regression, develop a regression formula for predicting overhead expense, based on the duration of the project.

8

step-by-step explanation:

this is a subtraction problem.

10 - 2 = 8

answer is d-29

step-by-step explanation:

since you didn't include the picture, i can give you the description so you know how to pick the correct answer. the third quartile of a data is always shown in a box plot. in the middle of your graph should be a box. the third quartile is the value that goes with the far right edge of the box.

c.

step-by-step explanation:

she should of added 9^2 and 12^2. that is because it is a^2+b^2=c^2. c^2 is the hypotenuse and should always be bigger than the other two numbers. which is why she should of added 9 squared and 12 squared together instead of 15 squared.

are ya tryin to ask something or is this a statement