The data from exercise 3 follow. excel file: data12-17.xls the estimated regression equation for these data is ŷ = 7.6 + .9x. compute sse, sst, and ssr (to 1 decimal). sse sst ssr what percentage of the total sum of squares can be accounted for by the estimated regression equation (to 1 decimal)? % what is the value of the sample correlation coefficient (to 3 decimals)? icon

SSE = 127.3

SST = 281.2

SSR = 153.9

percentage of the total sum of squares can be accounted for by the estimated regression equation is 54.7%

sample correlation coefficient  = 0.736.

Step by step explanation: Please find the attached files for the solution

y -5 = (-1/4)(x + 8)

step-by-step explanation:

step-by-step explanation:

well if you round, things become much more simple. round 5.95 to 6, 4.25 to 4, and 1.05 to 1. now, add 6+4+1 and that would equal 11. so the items together would equal to about $11.