For males in your sample, what is the mean parental_income? 

• Hint: Group your data by the gender variable (which contains 3 levels: Female, Male, Other) then compute the mean
• Round your answer to the nearest whole number
• Do not include units in your answer

• Round your answer to the nearest whole number. 
• Do not include units with your answer.

Using your model from the previous question:

1. Predict the final year average classification for your sample, use a threshold of 0.50 for your prediction classifications.
2. Compare the model predictions to the actual classifications.

What is the true negative count for this scenario? Here, treat negative as Group 0 (i.e. scoring less than 80).

What is the overall accuracy for your classification model? 

• Report your answer in decimal format, rounded to two decimal places.

Create a new variable (call it grade) that categorises Final_year_average into two levels for your sample:

• 0 = less than 80
• 1 = 80 or above

How many students in your sample are in Group 1 (80 or above)?

What is the correlation between screen_time_hours and Final_year_average, for your sample? 

• Round your answer to two decimal places.

For males in your sample, what is the mean sleep_hours_per_night? 

• Hint: Group your data by the gender variable (which contains 3 levels: Female, Male, Other) then compute the mean
• Round your answer to 1 decimal place.
• Do not include units in your answer

What is the Adjusted R² value for your linear model from the previous question? Round your answer to three decimal places.

• Round your answer to one decimal place. 
• Do not include units with your answer.

True or False: The lower threshold probability results in more claims being investigated.