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. 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)? check my work

step-by-step explanation:

you divide the denominator by the numerator on both sides and if the quotients are equal then the fractions are equivalent

x =-.20752

step-by-step explanation:

4^(x+2)=12

4^(x+2)=12

take the log base 4 on each side

log 4 (4^(x+2) = log 4(12)

we know log b(a^y) = y log b (a)

(x+2) log 4(4) = log 4 (12)

x+2 = log 4 (12)

we know   logb c = loga c/loga b

we want to convert to base 10   so a = 10

by default, we do not write the 10   c = 4   and b = 10

log4 10 = log 12/log 4

log4 10 = log 12/ log 4

x+2 = log 12/ log 4

subtract 2 from each side

x +2 -2 = log 12/ log 4 -2

x = 1.79248125 -2

x =-.20752

step-by-step explanation: