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### Model Application

ID P Question or exercise
3719 2 Make a linear regression model for predicting examination marks from attached data using the following variables:
• year (as a numerical variable),
• student attendance in lectures,
• student participation in practical lessons.
What mark is expected for a student in the year 2009 if the student did not visit lectures but participated in all practical lessons of his/her nominated student group and in half practical lessons of another group (participation in practical lessons = 150%)?
Add the software name you used.
Codes for marks are the following: A - 6, B - 5, C - 4, D - 3, E - 2. F - 1, MI - 0.

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3707 2 Form linear regression model for predicting annual amount of precipitation using long term mean values for February and July in the attached file.
1. Write the model formula to the answer like in the attached figure.
2. What is the expected annual precipitation amount if the amount in February is 35 mm and in July 80 mm?
Add the name of software you used.
Open
3751 3
1. Form linear regression model for predicting the long term mean precipitation amount in the mean precipitation amount using geographical longitude (the east-west trend). Write the model formula to the answer.
2. What is the expected precipitation amount in Tartu according to this model? The actual amount in Tartu is 49 mm.
3. Which amount of variability is source data is explained by this model?
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