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Exhibit 13-2 A Regression Model Between Sales (Y in $1,000), Unit Price

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Exhibit 13-2
A regression model between sales (y in $1,000) , unit price (x1 in dollars) and television advertisement (x2 in dollars) resulted in the following function: Exhibit 13-2 A regression model between sales (y in $1,000) , unit price (x<sub>1</sub> in dollars)  and television advertisement (x<sub>2</sub> in dollars)  resulted in the following function:   = 7 - 3x<sub>1</sub> + 5x<sub>2</sub> For this model SSR = 3500, SSE = 1500, and the sample size is 18. -Refer to Exhibit 13-2. The coefficient of x<sub>2</sub> indicates that if television advertising is increased by $1 (holding the unit price constant) , sales are expected to A) increase by $5 B) increase by $12,000 C) increase by $5,000 D) decrease by $2,000 = 7 - 3x1 + 5x2
For this model SSR = 3500, SSE = 1500, and the sample size is 18.
-Refer to Exhibit 13-2. The coefficient of x2 indicates that if television advertising is increased by $1 (holding the unit price constant) , sales are expected to

Distinguish between emotions, moods, affects, and attitudes and their respective characteristics.
Understand the role of emotions in decision-making and behavior prediction (affective forecasting).
Identify the impacts of specific emotions on perception, decision-making, and interpersonal interactions.
Grasp the theories of emotion and their implications on understanding human emotions.

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