Question

Suppose you want to study the behavior of sales of automobiles over a number of years and someone suggests you to try the following models:

yt=B_{0}+B_{1}\, t

yt=\grave{a}_{0}+\grave{a}_{1}\, t+\grave{a}_{2}\, t^{2}

Where yt = sales at time t and t = time. The first model postulates that sales is a linear function of time, whereas the second model states that it is a quadratic function of time.

(a) Discuss the properties of these two models.

(b) How would you decide which model is appropriate between these two models?

(c) In what situation the Quadric Model will be useful.

07 Mar 2024
Answer :
Word Count : 788
### (a) Discuss the properties of these two models: #### Linear Model: - Equation: \( y_t = B_0 + B_1 t \) - Type of relationship: This model assumes a linear relationship between sales and time. The variable \( y_t \) changes in a constant proportion to the variable \( t \) (time). - Intercept (\(B_0\)): The value of sales at \( t = 0 \), representing the baseline sales when no time has passed. - Slope (\(B_1\)): This indicates the rate of change of sales over time. A positive \( B_1 \) means sales increase over time, while a negative \( B_1 \) means sales decrease. - Simplicity: It’s simpler, requiring fewer parameters to estimate (only two parameters: \( B_0 \) and \( B_1 \)). - Assumption: Assumes that the growth (or decline) in sales is constant over time. #### Quadratic Model: - Equation: \( y_t = a_0 + a_1 t + a_2 t^2 \) - _________ ____ _______ _______ ________.
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