Here are some data based on a study by St. Leger, et al. (1978 and described in Howell, 1995). The data come from 10 countries. One variable is the number of physicians per 10,000 population. The other variable is an infant mortality rate that is adjusted so that the wealth of the country is not being measured. Describe in words, the relationship between these two variables after you have made the appropriate calculations. (Concept taken from Howell's statistics book.) $$\begin{array} { c c }
\text { Physicians/ } 10,000 & \text { Infant Mortality } \
\hline29 & 31 \
33 & 28 \
36 & 39 \
37 & 37 \
40 & 44 \
42 & 41 \
45 & 51 \
47 & 50 \
48 & 56 \
56 & 49
\end{array}$$

Question

Here are some data based on a study by St. Leger, et al. (1978 and described in Howell, 1995). The data come from 10 countries. One variable is the number of physicians per 10,000 population. The other variable is an infant mortality rate that is adjusted so that the wealth of the country is not being measured. Describe in words, the relationship between these two variables after you have made the appropriate calculations. (Concept taken from Howell's statistics book.) $$\begin{array} { c c } 
\text { Physicians/ } 10,000 & \text { Infant Mortality } \
\hline29 & 31 \
33 & 28 \
36 & 39 \
37 & 37 \
40 & 44 \
42 & 41 \
45 & 51 \
47 & 50 \
48 & 56 \
56 & 49
\end{array}$$

Quizplus · Accepted Answer

The Answer of Here are some data based on a study by St. Leger, et al. (1978 and described in Howell, 1995). The data come from 10 countries. One variable is the number of physicians per 10,000 population. The other variable is an infant mortality rate that is adjusted so that the wealth of the country is not being measured. Describe in words, the relationship between these two variables after you have made the appropriate calculations. (Concept taken from Howell's statistics book.) $$\begin{array} { c c } 
\text { Physicians/ } 10,000 & \text { Infant Mortality } \
\hline29 & 31 \
33 & 28 \
36 & 39 \
37 & 37 \
40 & 44 \
42 & 41 \
45 & 51 \
47 & 50 \
48 & 56 \
56 & 49
\end{array}$$

Here Are Some Data Based on a Study by St