slader The logarithmic equation is a nonlinear regression equation of the form ya. The accompanying data are the shoe sizes and heights (in inches) of men. Graphs of the regression line and the logarithmic equation are also provided. Which equation is a better model for the data? Explain.

The graphs and the table is missing in the question.

Step-by-step explanation:

The guidelines for interpreting correlation  co-efficient r are :

1. Strong correlation    0.7<|r|≤1

2. Moderate correlation   0.4<|r|<0.7

3. Weak correlation   0.2<|r|<0.4

4. No correlation  0≤|r|<0.2

Logarithmic regression

(i). Mean :

(ii) Trend line :

(iii). Correlation coefficient :

Now using the technology we can calculate

The equation of the regression curve is y = A + B(lnx)

we get A = 30.72 , B = 17.19

The equation of regression curve is = 30.72 + 17.19(lnx)

300

step-by-step explanation:

28-600w < 300

28-600w > 300

600-28w < 300

600-28w > 300

i found two solutions,   n = 2 • ± √3 = ± 3.4641

step-by-step explanation: