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QT – Nov 2015 – L1 – Q3 – Forecasting

Calculate the regression line for maize demand and forecast demand for the first three months of the next year using regression analysis.

The monthly demand for maize (in hundreds of bags) for the last year in Bosua Market is shown below:

Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Demand 42 43 40 44 50 47 53 49 54 57 63 60

Required:
(a) Calculate the regression line y=a+bxy = a + bx for the data. (9 Marks)

(b) Using the regression line in (a), determine the forecast for next year:
(i) January, (1 Mark)
(ii) February, (1 Mark)
(iii) March. (1 Mark)

(c) Determine the Standard Error in forecasting demand in (b). (8 Marks)

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QT – Nov 2015 – L1 – Q3 – Forecasting

Calculate the regression line for maize demand and forecast demand for the first three months of the next year using regression analysis.

The monthly demand for maize (in hundreds of bags) for the last year in Bosua Market is shown below:

Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Demand 42 43 40 44 50 47 53 49 54 57 63 60

Required:
(a) Calculate the regression line y=a+bxy = a + bx for the data. (9 Marks)

(b) Using the regression line in (a), determine the forecast for next year:
(i) January, (1 Mark)
(ii) February, (1 Mark)
(iii) March. (1 Mark)

(c) Determine the Standard Error in forecasting demand in (b). (8 Marks)

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