BADM 211 Test 2 - Practice Questions With
Quality Solutions
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Practice questions for this set
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False Positive Rate
Choose an answer
1 False Negative Rate 2 True Positive Rate
The ratio of incorrectly predicted
3 True Negative Rate 4 positive observations to all actual
negatives.
Don't know?
Terms in this set (63)
Mathematically defined as e = y - ŷ, where y is the
Error
actual outcome and ŷ is the predicted outcome.
Negative error We are underestimating the outcome for that
implication record.
, Multiple linear regression An example of regression.
Step before Modeling in Data Preparation.
CRISP-DM
Outcome variables in We can have two outcome variables.
multiple linear regression
MLR model predicting Price = 3 - 0.5 Age + 0.5 Has_car_play - 0.05 *
price of used cars Odometer.
Positively associated Has_car_play.
variable in MLR model
Increase in price due to All else being equal, having car play is associated
car play with an increase in price of $500.
The opposite of Prediction Error; higher prediction
Predictive Accuracy
error means lower predictive accuracy.
Region B shows the model is probably overfitting
Model overfitting region
the data.
Efficiency prediction efficiency = 3 + 17 training - 4 distraction + ε.
model
Interpretation of training One unit increase in training is associated with a 17
coefficient unit increase in efficiency.
Interpretation of One unit increase in distraction is associated with a
distraction coefficient 4 unit decrease in efficiency.
KM relationship to Price KM is significantly related to Price.
Both CC and Mfg_Years have a
CC and Mfg_Years significant and positive
relationship to Price relationship to Price.
Price difference between There is a significant difference between the Price
Petrol and CNG cars of a Petrol car and a CNG car.
Choosing predictive If model A outperforms model B on the training
models dataset, we should select model A.
A problem where the goal is to predict a continuous
Regression Problem
outcome variable.
Quality Solutions
Save
Practice questions for this set
Learn 1 /7 Study with Learn
False Positive Rate
Choose an answer
1 False Negative Rate 2 True Positive Rate
The ratio of incorrectly predicted
3 True Negative Rate 4 positive observations to all actual
negatives.
Don't know?
Terms in this set (63)
Mathematically defined as e = y - ŷ, where y is the
Error
actual outcome and ŷ is the predicted outcome.
Negative error We are underestimating the outcome for that
implication record.
, Multiple linear regression An example of regression.
Step before Modeling in Data Preparation.
CRISP-DM
Outcome variables in We can have two outcome variables.
multiple linear regression
MLR model predicting Price = 3 - 0.5 Age + 0.5 Has_car_play - 0.05 *
price of used cars Odometer.
Positively associated Has_car_play.
variable in MLR model
Increase in price due to All else being equal, having car play is associated
car play with an increase in price of $500.
The opposite of Prediction Error; higher prediction
Predictive Accuracy
error means lower predictive accuracy.
Region B shows the model is probably overfitting
Model overfitting region
the data.
Efficiency prediction efficiency = 3 + 17 training - 4 distraction + ε.
model
Interpretation of training One unit increase in training is associated with a 17
coefficient unit increase in efficiency.
Interpretation of One unit increase in distraction is associated with a
distraction coefficient 4 unit decrease in efficiency.
KM relationship to Price KM is significantly related to Price.
Both CC and Mfg_Years have a
CC and Mfg_Years significant and positive
relationship to Price relationship to Price.
Price difference between There is a significant difference between the Price
Petrol and CNG cars of a Petrol car and a CNG car.
Choosing predictive If model A outperforms model B on the training
models dataset, we should select model A.
A problem where the goal is to predict a continuous
Regression Problem
outcome variable.
