Linear Programming

Regression of saving (s) of a family on income y may be expressed as s = a + $\frac{\mathrm{y}}{\mathrm{m}}$, where a and m are constants. In a random sample of 100 families the variance of savings is one quarter of the variance of incomes and the correlation coefficient is found to be 0.8, the value of m is

• 0.8

• 1.25

• 0.25

• None of these