The presence of the sea lice, a common parasite among saltwater fish are said to be related to pollution in the bodies of water. A total of 50 random sample of fish from a certain bay was obtained. Each fish was analyzed whether an internal parasite (Y=1) was observed or not. Likewise, the amount of estrogenic compounds in the fish blood (X₁, ppt) and the sex of the fish (X₂, Male=1 and Female=0), using Female as base category, were recorded. Regression analysis was done, and the model is given by. = -1.3 +0.34X₁ + 1.51X₂ A researcher wants to validate the model above. He observed 30 random sample of fish from the same bay. He came up with a confusion matrix below. Predicted Probability Outcome x(y=1) -x(y=) 0 (with parasite) 1 (without parasite) <0.5 1 2 1. The accuracy of the researcher's model is A 4.0% B. 13.3% C. 16.7% D. 86.7% >0.5 2 25 2. The appropriate test procedure to assess the overall fit of the model is A Bartlett's test B. Levene's test C. Wald's W test D. t-test 3. Suppose in his test for the overall assessment of the model outputs a p-value of 0.0001, the conclusion at a = 0.05 is A the predictors are not significant B. there is sufficient evidence to say that the model with predictors fits C. there is insufficient evidence to say that the model with predictors fits D. the model with predictors does not fit significantly
The presence of the sea lice, a common parasite among saltwater fish are said to be related to pollution in the bodies of water. A total of 50 random sample of fish from a certain bay was obtained. Each fish was analyzed whether an internal parasite (Y=1) was observed or not. Likewise, the amount of estrogenic compounds in the fish blood (X₁, ppt) and the sex of the fish (X₂, Male=1 and Female=0), using Female as base category, were recorded. Regression analysis was done, and the model is given by. = -1.3 +0.34X₁ + 1.51X₂ A researcher wants to validate the model above. He observed 30 random sample of fish from the same bay. He came up with a confusion matrix below. Predicted Probability Outcome x(y=1) -x(y=) 0 (with parasite) 1 (without parasite) <0.5 1 2 1. The accuracy of the researcher's model is A 4.0% B. 13.3% C. 16.7% D. 86.7% >0.5 2 25 2. The appropriate test procedure to assess the overall fit of the model is A Bartlett's test B. Levene's test C. Wald's W test D. t-test 3. Suppose in his test for the overall assessment of the model outputs a p-value of 0.0001, the conclusion at a = 0.05 is A the predictors are not significant B. there is sufficient evidence to say that the model with predictors fits C. there is insufficient evidence to say that the model with predictors fits D. the model with predictors does not fit significantly
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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Transcribed Image Text:The presence of the sea lice, a common parasite among saltwater fish are said to be related to pollution in the bodies
of water. A total of 50 random sample of fish from a certain bay was obtained. Each fish was analyzed whether an
internal parasite (Y=1) was observed or not. Likewise, the amount of estrogenic compounds in the fish blood (X₁,
ppt) and the sex of the fish (X₂, Male=1 and Female=0), using Female as base category, were recorded.
Regression analysis was done, and the model is given by:
-1.3 +0.34X₁ + 1.51X₂
Outcome
In
0 (with parasite)
1 (without parasite)
(y=1)
1-x(y=1)
A researcher wants to validate the model above. He observed 30 random sample of fish from the same bay. He came
up with a confusion matrixbelow.
Predicted Probability
=
<0.5
1
2
1. The accuracy of the researcher's modelis
A. 4.0%
B. 13.3 %
C. 16.7%
D. 86.7 %
>0.5
2
25
2. The appropriate test procedure to assess the overall fit of the model is
A. Bartlett's test
B. Levene's test
C. Wald's W test
D. t-test
3. Suppose in his test for the overall assessment of the model outputs a p-value of 0.0001, the conclusion at a = 0.05
is
A. the predictors are not significant
B. there is sufficient evidence to say that the model with predictors fits
C. there is insufficient evidence to say that the model with predictors fits
D. the model with predictors does not fit significantly
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