Exhibit 14-33 Regression analysis was performed between sales data (in $1000s) and price data (in $100s), and the following information was obtained. ŷ= 200-1.25x n = 25 SSR = 312 SSE = 46 Standard error of the slope coefficient = 0.654 Refer to Exhibit 14-33. The F statistic computed from the above data is 23 156 312 Not enough information is given to answer this question.

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**Exhibit 14-33**

A regression analysis was performed between sales data (in $1000s) and price data (in $100s), and the following information was obtained:

\[
\hat{y} = 200 - 1.25x
\]

- \( n = 25 \)
- \( SSR = 312 \)
- \( SSE = 46 \)
- Standard error of the slope coefficient = 0.654

Refer to Exhibit 14-33. The \( F \) statistic computed from the above data is ____.

- ○ 23
- ○ 156
- ○ 312
- ○ Not enough information is given to answer this question.
Transcribed Image Text:**Exhibit 14-33** A regression analysis was performed between sales data (in $1000s) and price data (in $100s), and the following information was obtained: \[ \hat{y} = 200 - 1.25x \] - \( n = 25 \) - \( SSR = 312 \) - \( SSE = 46 \) - Standard error of the slope coefficient = 0.654 Refer to Exhibit 14-33. The \( F \) statistic computed from the above data is ____. - ○ 23 - ○ 156 - ○ 312 - ○ Not enough information is given to answer this question.
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