If statistics professor bought a new car for 35,000 for the next five years she use several automotive webpages to estimate the value of her car she then found the least squares regression line for the data to be Y equals 35035.71-4142.86 X the correlation coefficient was -0.99 would it be accurate to use this equation to predict the value of the car after 10 years?

answer:  

step-by-step explanation:

here x represents the height of the pole,

and, the height of the shadow of the pole is 12 feet.

also, the angle of elevation from the top of the pole is 40°,

therefore,

by the low of sine,

which is the required equation for finding the value of x,

-362

step-by-step explanation:

(12)(4)+2(12)-34(12)+2(12)-3

  \/         \/         \/         \/

  48 +   24 -   408 + 24 - 3

      \   /               \   /

          72     -     432 - 3 = -363

-22

times both sides by 2, times () by 8, add alile terms, move terms, add alike and caculate divide both sides by 3

idk

step-by-step explanation: