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

nope lol

step-by-step explanation:

hi there!

step-by-step explanation:

a roof pitch is basically for every inch rise there is 12 inches run.

the height of the roof is also known as the rafter.

formula: rafter^2 = rise^2 + run^2

rafter^2 = 5^2 + 12^2

rafter^2 = 25 + 144

rafter ^2 = 169"^2

the height of the roof from the lowest point to the highest point is 169"^2.

hope this : )