The questions below relate to the work done in Lab 9. Give all numeric answers correct to 2 decimal places.

1. From Exercise 1 (b), how many unique words are in the dataset?
2. From Exercise 1 (c), what is the first word in the loml_rm_stop dataset?
3. From Exercise 1 (d), how many times does the word love appear in the loml_rm_stop dataset?
4. From Exercise 1 (e) what sentiment is attached to the word twists? Enter 0 for negative or 1 for positive.
5. From Exercise 1 (f) what proportion (value between 0 and 1) of the words in sentiment_loml have a positive sentiment?
6. From Exercise 1 (h), what is the average afinn score for the song?

The questions below relate to the work done in Lab 8. Give all numeric answers correct to 2 decimal places.

1. From Exercise 1 (a), does stations have a positive or negative relationship with the magnitude of the earthquake? Enter 1 for positive or 0 for negative.
2. From Exercise 1 (b), does depth have a positive or negative relationship with the magnitude of the earthquake? Enter 1 for positive or 0 for negative.
3. From Exercise 1 (c), set the seed to 404 and get the training and testing dataset. What is the magnitude value for the first observation in the training dataset?
4. From Exercise 1 (d) what is the coefficient for stations in model 1?
5. From Exercise 1 (d) what is the coefficient for stations in model 2?
6. From Exercise 1 (h), which model has a smaller mean absolute error. Enter 1 for model 1 or 0 for model 2.

The questions below relate to the work done in Lab 7. Give all numeric answers correct to 2 decimal places.

1. From Exercise 1 (a), set the seed to 10202 and enter the value of the Sepal.Length for th 1st observation in the training dataset.
2. From Exercise 1 (a), set the seed to 10202 and enter the value of the Sepal.Length for th 1st observation in the test dataset.
3. From Exercise 1 (c), the first decision in the tree is “Petal.Length < X”, what is the value of X?
4. From Exercise 1 (g) how does the model classify the first observation in the test dataset. Enter 1 for setosa, 2 for virginica or 3 for versicolor.
5. From Exercise 1 (g) is the model classifcation correct? Enter 0 for no or 1 for yes.
6. From Exercise 1 (h), what is the accuracy (to the nearest whole %) for the classification tree model?
7. From Exercise 1 (l), what is the accuracy (to the nearest whole %) for the knn model?

The questions below relate to the work done in Lab 6. Give all numeric answers correct to 2 decimal places.

1. From Exercise 2 (b) what is the overall mean yield?
2. From Exercise 2 (c) which variety has the highest median yield? Enter a value from 1 to 8.
3. From Exercise 2 (d) what is the mean yield for variety 8?
4. From Exercise 2 (e) what variety group mean does the intercept correspond to? Enter a value from 1 to 8.
5. From Exercise 2 (e) what is the coefficient for variety 2?
6. From Exercise 3 (c) what is the mean BP in the MDL treatment group?
7. From Exercise 3 (c) what treatment group has the largest variation? Enter 0 for Control or 1 for MDL.
8. From Exercise 3 (d) what is the mean BP in the R1 animal group?
9. From Exercise 3 (d) what animal group has the largest variation? Enter a value from 1 to 5.

The questions below relate to the work done in Lab 4. Give all numeric answers correct to 2 decimal places.

1. From Exercise 1 (b), set the seed to 12345 and get a simple random sample of 10. How many males are in your sample?
2. From Exercise 1 (c) and using your simple random sample from above, what is the mean of the TV variable?
3. From Exercise 2 (a), set the seed to 12345 and get a systematic sample with an interval of 4. What is the start value?
4. From Exercise 2 (b) and using your systematic sample from above, what is the mean of the TV variable?
5. From Exercise 2 (c) and using your systematic sample from above, what proportion of the sample is Female?
6. From Exercise 3 (a), when you filter the data and obtain the female stratum, what is the mean of the TV variable?
7. From Exercise 4 (a), how many levels are in the new variable sex_seat_class?

The questions below relate to the work done in Lab 3. Give all numeric answers correct to 2 decimal places.

1. From Exercise 1 (b) of Lab Sheet 3, what is the coefficient for distance in the multiple linear regression model?
2. From Exercise 1 (b) of Lab Sheet 3, how many of the predictors have a negative association with the outcome?
3. From Exercise 1 (c), what is the predicted score for the 3rd obervation in the dataset?
4. From Exercise 1 (e), what is the discrepancy for the multiple linear regression model?
5. From Exercise 1 (f), what is the discrepancy when you run the model with only sand and chip as predictors?
6. From Exercise 2 (b), how many of the 4 predictor variables appear to have a negative associated with the outcome?
7. From Exercise 2 (c), if you fit the simple logistic regression model using species_binary as the outcome and bill_depth_mm as the predictor, what is the coefficient for bill_depth_mm?

The questions below relate to the work done in Lab 2. Give all numeric answers correct to 2 decimal places.

1. What is the mean of x in the sets of the anscombes’ dataset?
2. What is the mean of y in the sets of the anscombes’ dataset?
3. What is the correlation between x and y in the sets of the anscombes’ dataset?
4. What is the standard deviation of x in the star dataset of the Datasaurus Dozen?
5. What is the standard deviation of y in the star dataset of the Datasaurus Dozen?
6. What is the correlation between x and y in the star dataset of the Datasaurus Dozen?
7. For the golf data you fit a linear regression model with accur as the outcome and distance as the predictor. What is the intercept value in the linear regression model?
8. For the golf data you fit a linear regression model with accur as the outcome and distance as the predictor. What is the slope value in the linear regression model?
9. Using on the model predictions for the golf data, what is the difference between the observed accuracy and the predicted accuracy for the first observation in the dataset?

The questions below relate to the work done in Lab 2. Give all numeric answers correct to 2 decimal places.

1. What is the mean of x in the sets of the anscombes’ dataset?
2. What is the mean of y in the sets of the anscombes’ dataset?
3. What is the correlation between x and y in the sets of the anscombes’ dataset?
4. What is the standard deviation of x in the star dataset of the Datasaurus Dozen?
5. What is the standard deviation of y in the star dataset of the Datasaurus Dozen?
6. What is the correlation between x and y in the star dataset of the Datasaurus Dozen?
7. For the golf data you fit a linear regression model with accur as the outcome and distance as the predictor. What is the intercept value in the linear regression model?
8. For the golf data you fit a linear regression model with accur as the outcome and distance as the predictor. What is the slope value in the linear regression model?
9. Using on the model predictions for the golf data, what is the difference between the observed accuracy and the predicted accuracy for the first observation in the dataset?

Which of the following is not a basic principle of experimentation?

A study of the salaries of professors at a University shows that the average salary for female professors is considerably less than the average male salary. Further investigation broken down by department (English, Physics, etc.) shows that the average salary for female professors is more than the average male salary. This apparent contradiction is an example of