Given are five observations for two variables, and y. 3 6 13 18 20
yi 53 60 44 17 14
The estimated regression equation for these data is y=69.47 -- 2.66x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination r?. Comment on the goodness of fit.
(to 3 decimals)
The least squares line provided an - Select your answer - fit;
% of the variability in y has been explained by the estimated regression equation (to 1
decimal).
c. Compute the sample correlation coefficient. Enter negative value as negative number.
(to 3 decimals)

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.

answer: it is 8

step-by-step explanation:

you know why its 8

step-by-step explanation:

assume that you have 3 different side lengths.   apply the pythagorean theorem here:   square each of the two shortest sides; call them a and b, so that their squares are a² and b².   also square the longest side, calling the result c².

now, if a² + b² = c² is true, the triangle is a right triangle; otherwise it is not a right triangle.