A study was done to determine the effect of the MECLR (methanol extract of C lut
ID: 3356793 • Letter: A
Question
A study was done to determine the effect of the MECLR (methanol extract of C lutea) on the mating habits of rabbits.
Twenty male rabbits were randomly assigned to one of four groups:
Control: no MECLR or sildenafil citrate
40 mg/kg body weight of MECLR
80 mg/kg body weight of MECLR
0.5 mg/kg body weight of sildenafil citrate
The next day, each male was paired with a female rabbit, and the number of times the male tried to mount the female (“mounting frequency”) was recorded. The results are as follows:
Control rabbits: 2, 3, 3, 3, 3
40 mg/kg MECLR: 4, 5, 5, 5, 6
80 mg/kg MECLR: 6, 6, 7, 8, 8
0.5 mg/kg sildenafil: 8, 9, 11, 11, 11
What is the regression line for predicting “mounting frequency” from “dosage of MECLR” (given the assumption that mounting frequency is linearly related to amount of MECLR)? Choose the best answer.
A. Predicted MF = 8.842 – 0.0376(dose)
B. Predicted MF = 6.077 + 0.0041(dose)
C. Predicted MF = 4.933 + 0.9305(dose)
D. Predicted MF = 3.000 + 0.0500(dose)
E. Predicted MF = 2.833 + 0.0525(dose)
Explanation / Answer
Answer:
A study was done to determine the effect of the MECLR (methanol extract of C lutea) on the mating habits of rabbits.
Twenty male rabbits were randomly assigned to one of four groups:
Control: no MECLR or sildenafil citrate
40 mg/kg body weight of MECLR
80 mg/kg body weight of MECLR
0.5 mg/kg body weight of sildenafil citrate
The next day, each male was paired with a female rabbit, and the number of times the male tried to mount the female (“mounting frequency”) was recorded. The results are as follows:
Control rabbits: 2, 3, 3, 3, 3
40 mg/kg MECLR: 4, 5, 5, 5, 6
80 mg/kg MECLR: 6, 6, 7, 8, 8
0.5 mg/kg sildenafil: 8, 9, 11, 11, 11
What is the regression line for predicting “mounting frequency” from “dosage of MECLR” (given the assumption that mounting frequency is linearly related to amount of MECLR)? Choose the best answer.
Regression Analysis
r²
0.002
n
20
r
0.049
k
1
Std. Error
2.933
Dep. Var.
MF
ANOVA table
Source
SS
df
MS
F
p-value
Regression
0.3666
1
0.3666
0.04
.8388
Residual
154.8334
18
8.6019
Total
155.2000
19
Regression output
confidence interval
variables
coefficients
std. error
t (df=18)
p-value
95% lower
95% upper
Intercept
6.0766
0.8873
6.848
2.08E-06
4.2124
7.9408
dose
0.0041
0.0198
0.206
.8388
-0.0376
0.0458
Regression Analysis
r²
0.002
n
20
r
0.049
k
1
Std. Error
2.933
Dep. Var.
MF
ANOVA table
Source
SS
df
MS
F
p-value
Regression
0.3666
1
0.3666
0.04
.8388
Residual
154.8334
18
8.6019
Total
155.2000
19
Regression output
confidence interval
variables
coefficients
std. error
t (df=18)
p-value
95% lower
95% upper
Intercept
6.0766
0.8873
6.848
2.08E-06
4.2124
7.9408
dose
0.0041
0.0198
0.206
.8388
-0.0376
0.0458
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