The data is given as follow. xi: 2 6 9 13 20 yi: 7 18 9 26 23 the estimated regression equation for these data is = 7.6 + .9x. (a) compute sse, sst, and ssr (to 1 decimal). (b) what percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? (c) what is the value of the sample correlation coefficient (to 3 decimals)?

c

step-by-step explanation:

a. (14,375+570)(5.3) b. 158,417$

step-by-step explanation:

a. you are basically just setting up the equation. f= amount of debt hence 14,375. g= how much she is borrowing from her parents weekly hence 570 and t= the interest on her debt. creating the equation.

b.   14,375+570= 14,945

      14,945 x 5.3 = 79,208.5

      79,208.5 x 2(years) = 158,417(answer)

write out the polynomial, with leading coefficient 1:

y = 1 (x+2)^1 (x-7)^1 (x-5)^2

next time, share the answer choices.   .