The Table Shows the Weights (In Pounds)and Monthly Incomes (In

question 9

Essay

The table shows the weights (in pounds)and monthly incomes (in dollars)of nine randomly selected women between the ages of 18 and 65. $$\begin{array} { r | c | c | c | c | c | c | c | c | c } \text { Weight (lb) } & 113 & 132 & 155 & 122 & 166 & 140 & 118 & 129 & 185 \\\hline \begin{array} { r } \text { Monthly Income } \\\text { (dollars) }\end{array} & 1420 & 3650 & 5475 & 2310 & 4710 & 2910 & 1720 & 2460 & 4115\end{array}$$ If we use statistical methods to conclude that there is a correlation (or relationship or association)between the weights of women and their monthly incomes, can we conclude that by increasing her weight a woman can increase her monthly income?

---

Definitions:

Credit Cost Curve

A graphical representation of the trade-off between the credit costs against the recovery rate or the likelihood of default.

Credit Period

The time frame between the purchase of goods on credit and the payment for those goods, offered by suppliers to buyers as an incentive.

Credit Period

The Credit Period is the time frame during which a buyer can pay for goods or services purchased on credit without incurring interest charges.

Credit Cost Curve

A graphical representation of the relationship between the cost of credit (interest rates) and the quantity of credit available in the market.