In: Math
Smitley and Davis studied the changes in gypsy moth egg mass density over one generation as a function of the initial egg mass density in a control plot and two treated plots. The data below are for the control plot.
Initial Egg Mass (per 0.04 ha) | 50 | 75 | 100 | 160 | 175 | 180 | 200 |
Change in Egg Mass Density (%) | 250 | -100 | -25 | -25 | -50 | 50 | 0 |
A. On the basis of the data given in the table, find the
best-fitting logarithmic function using least squares. State the
square of the correlation coefficient. (Note that the authors used
logarithms to the base 10.) (Use 4 decimal places in your
answers.)
y(x) =
r2 =
B. Use this model to estimate the change in egg mass density with
an initial egg mass of 120 per 0.04 ha. (Use 4 decimal places in
your answer.)
With an initial egg mass of 120 per 0.04ha, the change in mass
density is
%
Smitley and Davis studied the changes in gypsy moth egg mass density over one generation as a function of the initial egg mass density in a control plot and two treated plots. The data below are for the control plot.
Initial Egg Mass (per 0.04 ha) |
50 |
75 |
100 |
160 |
175 |
180 |
200 |
Change in Egg Mass Density (%) |
250 |
-100 |
-25 |
-25 |
-50 |
50 |
0 |
A. On the basis of the data given in the table, find the
best-fitting logarithmic function using least squares. State the
square of the correlation coefficient. (Note that the authors used
logarithms to the base 10.) (Use 4 decimal places in your
answers.)
y(x) =513.2945-239.6202 *log10(x)
r2
=0.2340
B. Use this model to estimate the change in egg mass density with
an initial egg mass of 120 per 0.04 ha. (Use 4 decimal places in
your answer.)
With an initial egg mass of 120 per 0.04ha, the change in mass
density is
15.0807%
Regression Analysis |
||||||
r² |
0.2340 |
n |
7 |
|||
r |
-0.4837 |
k |
1 |
|||
Std. Error |
108.838 |
Dep. Var. |
Change in Egg Mass Density (%) |
|||
ANOVA table |
||||||
Source |
SS |
df |
MS |
F |
p-value |
|
Regression |
18,092.4716 |
1 |
18,092.4716 |
1.53 |
.2714 |
|
Residual |
59,228.9570 |
5 |
11,845.7914 |
|||
Total |
77,321.4286 |
6 |
||||
Regression output |
confidence interval |
|||||
variables |
coefficients |
std. error |
t (df=5) |
p-value |
95% lower |
95% upper |
Intercept |
513.2945 |
405.8668 |
1.265 |
.2617 |
-530.0195 |
1,556.6085 |
Log10(Initial Egg Mass (per 0.04 ha)) |
-239.6202 |
193.8905 |
-1.236 |
.2714 |
-738.0316 |
258.7912 |
when x=120,
y(120) =513.2945-239.6202 *log10(120) =15.080674