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Chapter: Time Series· Mathematics & Statistics (Commerce) Part 2

The following table gives the production of steel (in millions of tons) for years 1976 to 1986 :Years19761977197819791980198119821983198419851986Production0442685941010Fit a trend line to the above data by the method of least squares.

Q.5 (B)(ii) The following table gives the production of steel (in millions of tons) for years 1976 to 1986 :

Years19761977197819791980198119821983198419851986
Production0442685941010

Fit a trend line to the above data by the method of least squares.

1 answer

Best answer

Answer: \(y = 5.636 + 0.791u\), where \(u = t - 1981\)

Here \(n = 11\) (odd), so take \(u = t - 1981\) (the middle year), giving \(\Sigma u = 0\).

Year \(t\)Production \(y\)\(u = t - 1981\)\(u^2\)\(uy\)Trend value
19760-52501.68
19774-416-162.47
19784-39-123.26
19792-24-44.05
19806-11-64.85
198180005.64
198251156.43
1983924187.22
1984439128.01
198510416408.80
198610525509.59
Total62011087

Let the trend line be \(y = a + bu\). The normal equations reduce (as \(\Sigma u = 0\)) to \(\Sigma y = na\) and \(\Sigma uy = b\,\Sigma u^2\).

\(a = \dfrac{\Sigma y}{n} = \dfrac{62}{11} = 5.636\), \(b = \dfrac{\Sigma uy}{\Sigma u^2} = \dfrac{87}{110} = 0.791\)

Trend line: \(y = 5.636 + 0.791u\), where \(u = t - 1981\). The trend values are shown in the last column of the table.

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