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Chapter test · Grade 12 · Applied Mathematics

Time-Based Data: Time Series and Trend

Applied Mathematics (CBSE study material) · Ch 11

  • 20 questions
  • 40 minutes
  • 1 mark each
  • Nothing taken off for a wrong answer
40 minutes20 questions
Question 1of 20

Which of the following is a time series?

Question 2of 20

The sale of umbrellas in a town rises every year during the monsoon months and falls afterwards. Which component of a time series does this show?

Question 3of 20

The least squares trend of a factory's yearly output (in tonnes) is \(y = 120 - 5X\), with origin at 2020 and \(X\) in years. Which statement is correct?

Question 4of 20

The yearly sales (in ₹ lakh) of a shop are: 2018: 9, 2019: 15, 2020: 12, 2021: 15, 2022: 21, 2023: 18, 2024: 24. What is the 3-yearly moving average for 2021?

Question 5of 20

The production (in thousand units) of a firm is: 2017: 20, 2018: 24, 2019: 22, 2020: 28, 2021: 30, 2022: 28. What is the centred 4-yearly moving average for 2020?

Question 6of 20

The sales (in ₹ lakh) of a company are: 2019: 4, 2020: 7, 2021: 7, 2022: 9, 2023: 13. Which straight-line trend is obtained by the method of least squares, with origin at 2021 and \(X\) in years?

Question 7of 20

The profits (in ₹ lakh) of a firm are: 2020: 10, 2021: 14, 2022: 16, 2023: 20. A straight-line trend is fitted by least squares with origin midway between 2021 and 2022 and \(X\) in half-years, so \(X = -3, -1, 1, 3\). What is the trend value for 2024?

Question 8of 20

A straight-line trend is most suitable for a time series whose values

Question 9of 20

When 5-yearly moving averages are found for 12 years of data, how many trend values are obtained?

Question 10of 20

The least squares trend of a company's profit (in ₹ lakh) is \(y = 50 + 6X\), with origin at 2022 and \(X\) in years. In which year does the trend value first exceed ₹ 80 lakh?

Question 11of 20

Assertion (A): The method of least squares gives a trend value for every year of the series, including the first and the last.

Reason (R): In the method of least squares, the trend values are worked out from a fitted equation, which can be used for any value of \(X\).

Question 12of 20

Assertion (A): With 3-yearly moving averages, no trend value is obtained for the first and the last year of the series.

Reason (R): Each 3-yearly moving average is placed against the first of the three years it covers.

Question 13of 20

Assertion (A): A fall in a factory's output in one month because of a strike is a cyclical variation.

Reason (R): Cyclical variations are up-and-down movements lasting more than a year, linked to booms and depressions in business.

Question 14of 20
  1. I. I. Secular trend describes the general movement of a series over a long period of time.
  2. II. II. Irregular variations can be forecast exactly from the past values of the series.

Which of the statements above about the components of a time series is/are correct?

Question 15of 20
  1. I. I. Moving averages of an odd period, such as 3 or 5 years, must be centred.
  2. II. II. Moving averages smooth out short-term fluctuations and bring out the trend of the series.

Which of the statements above about moving averages is/are correct?

Question 16of 20
  1. I. I. The straight line fitted by least squares passes through every point of the data.
  2. II. II. In the method of least squares, the sum of the deviations of the actual values from the trend values is zero.
  3. III. III. In the method of least squares, the sum of the squares of these deviations is the least possible.

Which of the statements above about the method of least squares is/are correct?

Question 17of 20

Match each component in List I with its example in List II:

List IList II
(i) Secular trend(P) The output of a factory falls sharply after an earthquake damages it
(ii) Seasonal variation(Q) The literacy rate of a country rises steadily over several decades
(iii) Cyclical variation(R) Business activity passes through boom, recession, depression and recovery over about 8 years
(iv) Irregular variation(S) Sales of air conditioners rise every summer
Question 18of 20

The sales (in ₹ lakh) of a shop from 2018 to 2022 are 6, 8, 13, 11 and 17. A straight-line trend \(y = a + bX\) is fitted by least squares with origin at 2020 and \(X\) in years. Match List I with List II:

List IList II
(i) \(a\)(P) 18.5
(ii) \(b\)(Q) 11
(iii) \(\sum X^{2}\)(R) 10
(iv) Trend value for 2023(S) 2.5
Question 19of 20

Farah records her bakery's monthly cake sales for 6 years. Sales jump every December, rise slowly from year to year, and fell sharply in one month when the shop was shut for repairs. To judge whether her business is really growing, what should she study?

Question 20of 20

A school's enrolment from 2020 to 2024 was 300, 320, 350, 370 and 410. To plan classrooms, the principal fits a straight-line trend by least squares (origin 2022, \(X\) in years). What is the estimated enrolment for 2026?

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