In: Advanced Math
a) The independent variable (x) = years of operation.
dependent variable (y) = earnings in thousands of dollars
b)
c) Coefficient of correlation
X | Y | |
1 | 10 | |
3 | 13 | |
5 | 17 | |
7 | 22 | |
Total | 16 | 62 |
Mean | 4 | 15.5 |
SD | 2.581989 | 5.196152 |
sample caovariance = 13.33
correlation coefficient = covariance / (sx*sy) = 13.33/(2.58*5.19) = 0.993
which says the strong positive correlation, which means increase in operation increases earnings.
d)
X | Y | X-Mx | (X-Mx)^2 | Y - My | (Y - My)^2 | (X - Mx)(Y-My) | |
1 | 10 | -3 | 9 | -1 | 1 | 3 | |
3 | 13 | -1 | 1 | 2 | 4 | -2 | |
5 | 17 | 1 | 1 | 6 | 36 | 6 | |
7 | 22 | 3 | 9 | 11 | 121 | 33 | |
Total | 16 | 62 | Sxx = 20 | Syy = 162 | Sxy = 40 | ||
Mean | 4 | 15.5 | |||||
SD | 2.581989 | 5.196152 |
e) y = b0 + b1x
b1 = Sxy/Sxx = 4/20 = 2
b0 = My -b1Mx = 15.5 - 2*4 = 7.5
y =7.5 + 2x
f) for X = 10
y = 7.5 +2*10 = 27.5 thousand dollars.