Question
The following table shows the information as:
| Statistical Measures | Advertisement Expenditure (X) (Rs. Lakhs) | Sales (Y) (Rs Lakhs) |
| Mean | 20 | 100 |
| Standard Deviation | 03 | 12 |
(i) the expected advertising expenditure of the company if sale is Rs. 125 lakhs, and
(ii) the expected sales of the company if the advertising expenditure is Rs 32 lakhs.
Answer :
Word Count : 236
We will use the formula for the regression line in statistics: \[ Y - \bar{Y} = r \times \frac{\sigma_Y}{\sigma_X} \times (X - \bar{X}) \] \[ X - \bar{X} = r \times \frac{\sigma_X}{\sigma_Y} \times (Y - \bar{Y}) \] where: - \( \bar{X} = 20 \) (Mean of Advertisement ____ ______ _____ ___ ___ _______ __________.
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We will use the formula for the regression line in statistics: \[ Y - \bar{Y} = r \times \frac{\sigma_Y}{\sigma_X} \times (X - \bar{X}) \] \[ X - \bar{X} = r \times \frac{\sigma_X}{\sigma_Y} \times (Y - \bar{Y}) \] where: - \( \bar{X} = 20 \) (Mean of Advertisement ____ ______ _____ ___ ___ _______ __________.
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