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8. ER diagrams are useful for designing databases.

9. Regression cannot be used in real-life situations like predicting sales.
10. It is not possible to design a neural network using linear regression.

SECTION B (Subjective Type Questions)

A. Short answer type questions.
1. Name the four main types of data models.

2. Give an example of the hierarchical data model from real life.
3. What are two benefits of using data modelling?

4. What does the slope in a linear regression equation represent?
5. Why do you think businesses use different data models instead of just one? Give an example to support your answer.

B. Long answer type questions.
1. How does the dimensional data model help in analysing data?

2. The sales of a company (in lakh rupees) for each year are shown below:
x (year) 2010 2011 2012 2013 2014
y (year) 12 19 29 37 45

a. Find the least square regression line y = mx + b.
b. Use the least squares regression line as a model to estimate the sales of the company in 2015.

3. Define the following:
a. Line of best fit
b. Independent variable

c. Dependent variable
d. Outlier
e. Residual Error

4. What are dependent and independent variables in Regression? Explain with an example.
5. Anita withdraws money from an ATM from time to time. She feels that her rate of spending money is affected
by the amount withdrawn from the ATM. To understand this relationship, she deliberately varies the amount
withdrawn from time to time. She records the amount withdrawn (x) and no. of days (y) till her next visit.
a. Draw a scatterplot for this data. (Use graph sheet)

b. Interpret the gradient of the regression line.

Withdrawal 1 2 3 4 5 6 7 8 9 10
x 40 10 100 110 120 150 20 90 80 130
y 55 62 195 330 95 270 48 195 214 285

21 st
C. Competency-based questions: HOTS Century #Interdisciplinary
Skills
1. Riya is working on an app for a school that stores student details, class schedules, and exam scores. Which data
model should she use and why?

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