From the following data compute the coefficient of correlation between x and y the arithmetic mean of x is $25 kinetic mean of y is 18 the sum of squares of deviation from the arithmetic mean of x is 136 and the sum of squares of deviation from the arithmetic mean of why is 138 the summation of products of deviation of x and y from from their respective means is 122 and the number of pairs of values is 15

answer: the equation matches the regression

step-by-step explanation:

b. 153 students do not participate in sports and seventy-five 12th graders were surveyed

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

its 60

4 x 12 = 48

3 x 4 = 12

48 + 12 = 60

yeeeet