Time Series
Gujarat Board · Class 12 · Statistics
Summary of Time Series for Gujarat Board Class 12 Statistics. Key concepts, important points, and chapter overview.
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Overview
A Time Series is a set of statistical observations recorded at successive, equally-spaced intervals of time and arranged in chronological order. Because one variable is always 'time' (the independent variable) and the other is the quantity under study (the dependent variable), special analytical too
Key Concepts
A time series is denoted as
A time series is denoted as {Y_t} where t = 1, 2, 3, …, n represents equally spaced time points (years, months, weeks, etc.) and Y_t is the observed v
Four components jointly determine each observed
Four components jointly determine each observed value: 1. TREND (T): The long-run, smooth, sustained upward or downward movement over the entire span
The standard model used in this
The standard model used in this chapter is: Y = T + S + C + R. Here, each component is measured in the same units as Y. When yearly data are available
PROCEDURE
PROCEDURE: 1. Plot the time series: put time t on the X-axis and the variable Y on the Y-axis. 2. Join consecutive plotted points with straight line s
CONCEPT
CONCEPT: Fit the line Ŷ = a + bt that minimises the sum of squared deviations (Σ(Y − Ŷ)²). NORMAL EQUATIONS: ΣY = na + b·Σt … (i) ΣtY
Learning Objectives
- Define a time series and distinguish it from ordinary bivariate data.
- Explain the four components of a time series: Trend (T), Seasonal (S), Cyclical (C), and Random/Irregular (R).
- Express the additive model of a time series as Y = T + S + C + R.
- Determine the linear trend of a time series using the Graphical Method.
- Fit a straight-line trend equation using the Method of Least Squares and apply the normal equations to find constants a and b.
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