We obtain the following quadratic trend equation:

The data used was from 2004 through 2013 coded 0 to 9. The forecast for 2014 is ___________.

Question

We obtain the following quadratic trend equation:

The data used was from 2004 through 2013 coded 0 to 9. The forecast for 2014 is ___________.

BlackTom AI · Accepted Answer

The question asks for a forecast value for 2014 based on a quadratic trend equation, with data from 2004 through 2013 coded 0 to 9. However, the provided data for answer choices is missing: there are no answer options to evaluate, and the numeric forecast itself is not given as part of any selectable set.

Key steps you would normally follow to approach this problem if the full information were present:
- Interpret the coding: assign t = 0 to 9 for years 2004 through 2013 respectively, so 2014 would correspond to t = 10 if using sequential yearly coding starting at 0.
- Establish the quadratic trend model: y = a t^2 + b t + c, where y is the forecasted value for year corresponding to t.
- Use the data points (t, y) from 2004–2013 to estimate the coefficients a, b, and c (via least squares or exact fit if there are three data points and the model is assumed to fit exactly).
- Compute the forecast: substitute t = 10 (for 2014) into the fitted model to obtain the predicted y, which would be the 2014 forecast.

What to do given the current information:
- Confirm whether any answer options exist: since none are provided, you cannot select or justify a choice.
- If you have access to the underlying data values (the yearly observations for 2004–2013) and the exact form of the quadratic trend equation or the coefficient estimates (a, b, c), you can perform the calculation as described above to derive the 2014 forecast.
- If the problem originally included a computed quadratic trend equation (e.g., provided as y = a t^2 + b t + c), plug t = 10 into that equation to obtain the forecast directly.

Note on the competing issue of the listed answer (1500): since there are no options or model details shown here, you cannot assess or justify whether 1500 would be the forecast. The missing options and coefficients prevent a complete, option-by-option justification, so the key is obtaining the full problem data (the quadratic model or the coefficients and the complete list of answer choices) to proceed with a proper step-by-step evaluation.

33:136:385:6&12&15 STAT METH BUSINESS Sample questions for final exam

We obtain the following quadratic trend equation: The data used was from 2004 through 2013 coded 0 to 9. The forecast for 2014 is ___________.

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